{"id":"W4403798551","doi":"10.1093/biostatistics/kxae039","title":"Selection processes, transportability, and failure time analysis in life history studies","year":2024,"lang":"en","type":"article","venue":"Biostatistics","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Selection (genetic algorithm); Computer science; Econometrics; Artificial intelligence; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003762236,0.00007797866,0.0001670638,0.0002648802,0.00009015012,0.00004379831,0.00005715299,0.00005851949,0.0001893321],"category_scores_gemma":[0.0002270075,0.00006979018,0.00002883458,0.001219838,0.0002599755,0.00009642335,0.000007360783,0.00008160173,0.000005314723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008334512,"about_ca_system_score_gemma":0.0003336599,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009533822,"about_ca_topic_score_gemma":0.1037374,"domain_scores_codex":[0.9991919,0.00007819073,0.0001633882,0.0002344665,0.0001839821,0.000148069],"domain_scores_gemma":[0.9995613,0.000221448,0.0000253798,0.00004458609,0.00007849464,0.00006886368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003304084,0.0002093283,0.5516101,0.001584155,0.002163138,0.00006179595,0.2467339,0.00004293177,0.00005166499,0.08127514,0.06335371,0.05288113],"study_design_scores_gemma":[0.0003374455,0.0001813658,0.3785042,0.0001580575,0.001964808,0.000001577096,0.02549016,0.002292694,0.000008755374,0.03188389,0.5583495,0.0008274901],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7668247,0.1880246,0.006748436,0.01557832,0.001934206,0.001127778,0.0009234852,0.001282292,0.01755622],"genre_scores_gemma":[0.9961752,0.001875583,0.0009100405,0.00003525952,0.00005143005,0.000008533908,0.00001710624,0.000004368656,0.0009224668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4949958,"threshold_uncertainty_score":0.9126171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04926000744727137,"score_gpt":0.3216940800327122,"score_spread":0.2724340725854408,"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."}}