{"id":"W3092430397","doi":"10.1002/pst.2072","title":"The current state of Bayesian methods in nonclinical pharmaceutical statistics: Survey results and recommendations from the <scp>DIA</scp>/<scp>ASA‐BIOP</scp> Nonclinical Bayesian Working Group","year":2020,"lang":"en","type":"article","venue":"Pharmaceutical Statistics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"AstraZeneca (Canada)","funders":"","keywords":"Bayesian probability; Bayesian statistics; Bayesian inference; Medicine; Computer science; Statistics; Mathematics; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2177738,0.0005502202,0.001433142,0.005949532,0.001554175,0.009374616,0.002199912,0.003052568,0.004705529],"category_scores_gemma":[0.3946119,0.0008366566,0.001384365,0.009329591,0.005670354,0.01493006,0.003177938,0.005971524,0.001656782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005494236,"about_ca_system_score_gemma":0.01475672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01032447,"about_ca_topic_score_gemma":0.009145532,"domain_scores_codex":[0.8749174,0.073085,0.01600559,0.004417773,0.02967622,0.00189795],"domain_scores_gemma":[0.3115643,0.5519064,0.02728685,0.01088367,0.09190416,0.006454648],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003462981,0.0002852828,0.09858512,0.005947151,0.0001930272,0.0001338644,0.008278757,0.002892419,0.001009999,0.02906808,0.07240822,0.7808518],"study_design_scores_gemma":[0.0001529315,0.001139942,0.1780497,0.03426974,0.000399565,0.00132667,0.04868574,0.0193746,0.0030221,0.0633555,0.6495073,0.0007162509],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09603822,0.172303,0.1113923,0.5781783,0.002010212,0.0007658604,0.003282934,0.0005770079,0.0354523],"genre_scores_gemma":[0.4586945,0.281972,0.1756627,0.07149795,0.002740305,0.001402393,0.003724027,0.000414122,0.003892079],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7822261,"threshold_uncertainty_score":0.9646241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5640579803130207,"score_gpt":0.595575910905105,"score_spread":0.0315179305920843,"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."}}