{"id":"W137777471","doi":"","title":"Generalized longitudinal data analysis, with application to evaluating hospital utilization based on administrative database","year":2006,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"BC Cancer Agency","keywords":"Duration (music); Event (particle physics); Event data; Computer science; Process (computing); Data mining; Database; Data modeling","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0161919,0.0007230985,0.001185988,0.001953675,0.0005391026,0.00131686,0.001413047,0.0009787505,0.001278665],"category_scores_gemma":[0.06122833,0.0003481182,0.001281468,0.004035231,0.001023183,0.001169144,0.001707288,0.001758524,0.0002014942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001394334,"about_ca_system_score_gemma":0.002216521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007080799,"about_ca_topic_score_gemma":0.008395758,"domain_scores_codex":[0.9891552,0.00895516,0.0003021721,0.0007043429,0.0007476385,0.0001354538],"domain_scores_gemma":[0.9591365,0.03184403,0.003566083,0.003247414,0.001800125,0.0004058287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004570083,0.0004324483,0.07301287,0.0009391564,0.001700289,0.0006416999,0.001509302,0.267075,0.001668652,0.1697152,0.01530718,0.4675411],"study_design_scores_gemma":[0.00009747628,0.0005508258,0.02836125,0.0001516212,0.0002060941,0.0001743285,0.0005281812,0.805388,0.0006086612,0.1573834,0.006456235,0.00009397601],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07613354,0.002290529,0.9153817,0.002266176,0.0001305484,0.0003783318,0.0015186,0.0005699352,0.001330641],"genre_scores_gemma":[0.4487411,0.002823144,0.5428349,0.0003279728,0.000241796,0.001068344,0.001820004,0.000123271,0.002019521],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0161919,"threshold_uncertainty_score":0.08563197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1323506540274808,"score_gpt":0.3915676101143314,"score_spread":0.2592169560868506,"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."}}