{"id":"W4386996824","doi":"10.29333/ejgm/13717","title":"Prognostic factors of first-ever stroke patients in suburban Malaysia by comparing regression models","year":2023,"lang":"en","type":"article","venue":"Electronic Journal of General Medicine","topic":"Statistical Methods in Epidemiology","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research","funders":"Universiti Sains Malaysia","keywords":"Logistic regression; Proportional hazards model; Medicine; Multinomial logistic regression; Statistics; Regression analysis; Statistical significance; Regression; Linear regression; Stroke (engine); Demography; Internal medicine; Mathematics","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":[0.002181666,0.0002112964,0.001009512,0.0003456172,0.00003413594,0.00000240239,0.0003054193,0.0001209857,0.00004455242],"category_scores_gemma":[0.008043879,0.0001386562,0.0000862833,0.0003950759,0.0001316689,0.00008999211,0.00006024642,0.0007124441,0.000001080407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002465317,"about_ca_system_score_gemma":0.00007561174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007678091,"about_ca_topic_score_gemma":0.00004003747,"domain_scores_codex":[0.9969082,0.0004579194,0.001266359,0.0001846283,0.0005177142,0.0006651643],"domain_scores_gemma":[0.9952476,0.003458634,0.0007858831,0.0001906158,0.000186337,0.000130933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003232123,0.0003467803,0.9168903,0.0002445254,0.00021125,0.00002984314,0.001086154,0.002018395,0.003156803,0.04416835,0.02950123,0.002023144],"study_design_scores_gemma":[0.005251507,0.003639069,0.08063055,0.001436567,0.0002657294,0.00003480827,0.0003900242,0.08575538,0.002271448,0.8197692,0.0002037435,0.0003519494],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9692119,0.0006226597,0.02907181,0.0004046226,0.0003081525,0.0001929903,0.000006841328,0.00001634567,0.0001646378],"genre_scores_gemma":[0.9910821,0.0003310411,0.008215794,0.00003010196,0.0001447202,0.000004533458,0.00001181996,0.00003089192,0.0001489911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8362598,"threshold_uncertainty_score":0.9629855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09295723964916049,"score_gpt":0.3863153185124562,"score_spread":0.2933580788632957,"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."}}