{"id":"W3089031369","doi":"10.1002/sim.8744","title":"Comparing Kaplan‐Meier curves with the probability of agreement","year":2020,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Air Force Office of Scientific Research; Natural Sciences and Engineering Research Council of Canada","keywords":"Nonparametric statistics; Similarity (geometry); Statistics; Confidence interval; Computer science; Reliability (semiconductor); Coverage probability; Point estimation; Mathematics; Sample size determination; Contrast (vision); Econometrics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.09638296,0.001525101,0.001731348,0.00953615,0.0008844538,0.004774132,0.002427292,0.002828636,0.008524261],"category_scores_gemma":[0.3332036,0.0007972973,0.002497259,0.004846001,0.004299488,0.008416049,0.004961409,0.004761392,0.001196392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001980001,"about_ca_system_score_gemma":0.001989789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001485738,"about_ca_topic_score_gemma":0.0006665435,"domain_scores_codex":[0.9261653,0.05348781,0.004797598,0.005758983,0.008990276,0.0007999876],"domain_scores_gemma":[0.5825381,0.3578052,0.02667486,0.01904113,0.01242204,0.001518608],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003075088,0.0002174947,0.0528262,0.003964505,0.003967889,0.0006789049,0.004436661,0.1583755,0.002060551,0.3035401,0.01764506,0.449212],"study_design_scores_gemma":[0.0003736685,0.001850301,0.03357028,0.002130667,0.001057276,0.002257355,0.002154982,0.3332225,0.005661102,0.5616445,0.05530655,0.0007708046],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02320095,0.00515184,0.9611376,0.001149797,0.0003993016,0.0006587475,0.001080136,0.001428422,0.00579317],"genre_scores_gemma":[0.5780479,0.003643376,0.4099211,0.0006467201,0.0005597929,0.002848865,0.001601544,0.0009214525,0.00180936],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.903617,"threshold_uncertainty_score":0.5097279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1459445148099727,"score_gpt":0.3958705193071091,"score_spread":0.2499260044971365,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}