{"id":"W2950420284","doi":"10.1016/j.jmva.2019.06.001","title":"Editor’s final report","year":2019,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Estimator; Mathematics; Independence (probability theory); Econometrics; Logistic regression; Population; Statistics; Construct (python library); Mathematical optimization; Computer science; Medicine; Environmental health","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":[0.000919425,0.00009188207,0.0003462608,0.0001531344,0.00003193591,0.00001115091,0.0001594425,0.0001380559,0.000129316],"category_scores_gemma":[0.0004198481,0.00007353762,0.0004632937,0.0002372474,0.00001640451,0.000003827239,0.00004540565,0.0001092888,0.00001798271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000191929,"about_ca_system_score_gemma":0.00008724634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004422312,"about_ca_topic_score_gemma":0.000016092,"domain_scores_codex":[0.9988647,0.0001136456,0.0005433075,0.0001617517,0.0001615845,0.0001550081],"domain_scores_gemma":[0.998594,0.00003663141,0.0007090854,0.0002604127,0.0003291361,0.00007077004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001036405,0.0001383884,0.8527926,0.00000580995,0.004893056,0.00004353798,0.00005589269,0.01783613,0.1013188,0.00002646731,0.02196143,0.0008242123],"study_design_scores_gemma":[0.001167532,0.0004179168,0.8522719,0.000007638469,0.001496876,0.0001593268,0.0001252993,0.002283704,0.001983368,0.0001303886,0.1397179,0.0002382377],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836414,0.0001781619,0.0138309,0.0003536295,0.001218586,0.00004020743,0.000003509501,0.000001894933,0.0007316525],"genre_scores_gemma":[0.9894268,0.00006259041,0.005508536,0.0001182032,0.002104708,8.614099e-7,0.00003439366,0.000007365717,0.002736552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1177564,"threshold_uncertainty_score":0.2998777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01183874680342292,"score_gpt":0.2942780364546975,"score_spread":0.2824392896512746,"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."}}