arm,metric,values,mean,sample_sd,n
task_agnostic_base,macro_f1,"[0.5883093293517536, 0.6028379036218096, 0.5712816197954101]",0.5874762842563245,0.01579462678670608,3
task_agnostic_base,micro_f1,"[0.6468085106382978, 0.6655172413793103, 0.6465256797583082]",0.6529504772586388,0.010884055708931178,3
task_agnostic_base,exact_match,"[0.05454545454545454, 0.03636363636363636, 0.0]",0.0303030303030303,0.027773186030035393,3
task_agnostic_base,predicted_positive_rate,"[0.5714285714285714, 0.4090909090909091, 0.5155844155844156]",0.4987012987012987,0.08247520160679181,3
structural_copy_control,macro_f1,"[0.5169424579262757, 0.5349405779540175, 0.5023778364496152]",0.5180869574433028,0.016311512588628545,3
structural_copy_control,micro_f1,"[0.5773955773955775, 0.6083445491251682, 0.585635359116022]",0.5904584952122559,0.01602830914762526,3
structural_copy_control,exact_match,"[0.0, 0.0, 0.0]",0.0,0.0,3
structural_copy_control,predicted_positive_rate,"[0.712987012987013, 0.6207792207792208, 0.5961038961038961]",0.6432900432900432,0.06160737456395461,3
existing_specialized_separate_lineage,macro_f1,"[0.5832848452288824, 0.5958405181160762, 0.5835785045218137]",0.5875679559555907,0.007165753447433348,3
existing_specialized_separate_lineage,micro_f1,"[0.6494252873563218, 0.6458616010854816, 0.6486486486486486]",0.647978512363484,0.0018739735696546695,3
existing_specialized_separate_lineage,exact_match,"[0.0, 0.0, 0.01818181818181818]",0.006060606060606061,0.01049727762162956,3
existing_specialized_separate_lineage,predicted_positive_rate,"[0.5597402597402598, 0.612987012987013, 0.5688311688311688]",0.5805194805194805,0.02848274311618351,3