{"id":"W2529912736","doi":"10.1097/acm.0000000000001445","title":"P Value: Pitfalls and Solutions","year":2016,"lang":"en","type":"article","venue":"Academic Medicine","topic":"Statistical and numerical algorithms","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Value (mathematics); Medicine; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003372738,0.00009359667,0.0002008892,0.00003318394,0.00005748192,0.000001106286,0.00009535198,0.00009393906,0.0005431623],"category_scores_gemma":[0.002724512,0.00004486999,0.00001264669,0.00009017119,0.0003223985,0.00004237917,0.00005706107,0.000173338,0.00007252924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000168707,"about_ca_system_score_gemma":0.00000943989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001360502,"about_ca_topic_score_gemma":2.825943e-7,"domain_scores_codex":[0.9991055,0.00003857523,0.0002420109,0.0001672091,0.0002059572,0.0002408073],"domain_scores_gemma":[0.9978105,0.001817871,0.00004909418,0.0001169496,0.00002492388,0.0001805893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007261595,0.000005325089,0.0002329554,0.00002159131,0.00001553542,0.000004837626,0.000300199,5.623408e-9,0.002937718,0.8749428,0.07773197,0.04379977],"study_design_scores_gemma":[0.0007020626,0.0001058262,0.001102458,0.0001877841,0.00004796913,0.00003118107,0.00007045981,0.00009881652,0.0001192818,0.9754751,0.02195853,0.0001005553],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04062907,0.002203085,0.8517498,0.09405942,0.0005608174,0.0003289391,0.00003013079,0.0002735349,0.01016523],"genre_scores_gemma":[0.939151,0.004105184,0.02399646,0.004733551,0.002413929,0.00005086517,0.000004344182,0.00005921314,0.02548543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.898522,"threshold_uncertainty_score":0.5947246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1142730701287398,"score_gpt":0.3734973542636003,"score_spread":0.2592242841348605,"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."}}