{"id":"W2982287100","doi":"10.1111/rssa.12515","title":"Michael Arthur Stephens, 1927–2019","year":2019,"lang":"en","type":"article","venue":"Journal of the Royal Statistical Society Series A (Statistics in Society)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art","routes":{"ca_aff":false,"ca_fund":false,"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":[0.001606868,0.000938771,0.0004720598,0.001713205,0.002268981,0.003074284,0.0007007241,0.002464511,0.04801029],"category_scores_gemma":[0.007914484,0.0003569965,0.0002830054,0.0008932533,0.002175632,0.001973742,0.002411253,0.003733158,0.03921527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005558466,"about_ca_system_score_gemma":0.00578576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01825546,"about_ca_topic_score_gemma":0.0295659,"domain_scores_codex":[0.9985072,0.0002335727,0.0000851872,0.0003032912,0.0006850924,0.0001854976],"domain_scores_gemma":[0.9975958,0.0002404326,0.0001412897,0.00008244733,0.0008115065,0.001128508],"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":[0.00002647983,0.00001306195,0.0004194276,0.00008407029,0.000004445638,0.0002351248,0.0003018141,0.00004092775,0.0001482362,0.02025652,0.9247662,0.05370365],"study_design_scores_gemma":[0.000001227148,0.000006116699,0.0002053621,0.00008369044,7.884402e-7,0.0001758219,0.00004050001,0.00001044131,0.00005920877,0.0008896384,0.9985239,0.000003407226],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004630576,0.1971515,0.001806436,0.3251498,0.1323911,0.00008235468,0.001543463,0.0002903331,0.3369544],"genre_scores_gemma":[0.02906067,0.08181109,0.001004165,0.04511443,0.03079771,0.00007273051,0.0005408557,0.0002910996,0.8113073],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04801029,"threshold_uncertainty_score":0.1606104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006955447852011638,"score_gpt":0.234754584808103,"score_spread":0.2277991369560914,"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."}}