{"id":"W4249508897","doi":"10.1002/9781118445112.stat06054","title":"Repeated Events","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Event (particle physics); Event data; Repeated measures design; Statistical model; Computer science; Statistics; Data science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005528727,0.001012819,0.001586496,0.0004060637,0.000116067,0.00006793361,0.0008379134,0.0007484348,0.01570604],"category_scores_gemma":[0.005277249,0.0008818647,0.0001098249,0.0003400652,0.0002897417,0.00003296412,0.0002599335,0.001076721,0.0008468648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001279155,"about_ca_system_score_gemma":0.0002791247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003285476,"about_ca_topic_score_gemma":0.0006326137,"domain_scores_codex":[0.9950165,0.0005599559,0.001266061,0.001153034,0.001045503,0.0009589572],"domain_scores_gemma":[0.9944721,0.002027958,0.001130853,0.001506166,0.0003658933,0.0004970058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002686358,0.0002943967,0.00004888758,0.0005171101,0.0001421516,0.00004263501,0.0000250287,3.33073e-7,0.00001432096,0.3194484,0.6472682,0.03217171],"study_design_scores_gemma":[0.0007505891,0.0003286438,0.0001307529,0.001497407,0.0002744842,0.00001250773,0.00002564913,0.0008435623,0.000008681116,0.5043219,0.4907099,0.001095927],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001749595,0.0002865431,0.7863428,0.0000593777,0.0007836799,0.0007102643,0.04668833,0.0007085894,0.1644029],"genre_scores_gemma":[0.00006598699,0.0009574528,0.6944274,0.0001773096,0.0004243453,0.00004685556,0.003361691,0.0008809826,0.299658],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1848735,"threshold_uncertainty_score":0.9999311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1065235925070974,"score_gpt":0.4007847750483076,"score_spread":0.2942611825412103,"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."}}