{"id":"W4205708523","doi":"10.1214/21-sts829","title":"A Conversation with Ross Prentice","year":2022,"lang":"en","type":"article","venue":"Statistical Science","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Waterloo; Harvard University; American Association for Cancer Research","keywords":"Biostatistics; Statistician; Epidemiology; Public health; Conversation; Library science; Population; Gerontology; Medicine; Sociology; Demography; Pathology; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01015413,0.001214549,0.001525994,0.001392965,0.009285877,0.009875886,0.002449251,0.01103325,0.01507205],"category_scores_gemma":[0.03902088,0.0007436642,0.0008979834,0.001348593,0.006744616,0.01388656,0.005513743,0.03163366,0.006421053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00509635,"about_ca_system_score_gemma":0.008894381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00799382,"about_ca_topic_score_gemma":0.01225488,"domain_scores_codex":[0.9916121,0.004452697,0.0002952605,0.001162307,0.001580146,0.0008974581],"domain_scores_gemma":[0.9833443,0.008084469,0.0007031059,0.0004395978,0.002735872,0.004692666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001602713,0.00001365558,0.0001122198,0.00003929754,0.000004907611,0.000157337,0.001573474,0.00001553558,0.00003147475,0.009876495,0.9818641,0.006295422],"study_design_scores_gemma":[0.000007072792,0.0000151934,0.0001143486,0.0002322119,0.000003095138,0.0004114667,0.002958146,0.00003378014,0.00003542198,0.005809047,0.9903562,0.00002400928],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.00032215,0.01723593,0.0003434852,0.9415079,0.03351179,0.000006191886,0.00003580438,0.00003745505,0.006999258],"genre_scores_gemma":[0.01192568,0.01548659,0.0009368593,0.90851,0.02256307,0.00006463339,0.00006132828,0.0001871055,0.04026468],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01507205,"threshold_uncertainty_score":0.0537008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01003241941330544,"score_gpt":0.2968069063300402,"score_spread":0.2867744869167347,"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."}}