{"id":"W2161458071","doi":"10.1017/s1481803500005595","title":"Measures of association: an overview with examples from Canadian emergency medicine research","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Statistical Methods in Epidemiology","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; Capital District Health Authority; McMaster University; Hamilton Health Sciences","funders":"Hamilton Health Sciences","keywords":"Categorical variable; Medicine; Number needed to treat; Association (psychology); Relative risk; Odds; Odds ratio; Similarity (geometry); Statistics; Confidence interval; Artificial intelligence; Computer science; Psychology; Mathematics; Logistic regression; Pathology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01230507,0.0002913072,0.00125266,0.001057123,0.0002561839,0.000002411167,0.0007958561,0.0002553738,0.05003966],"category_scores_gemma":[0.07331827,0.0002063877,0.00009815497,0.001350129,0.000406395,0.0001540403,0.00001429339,0.0008818145,0.000008899427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007811157,"about_ca_system_score_gemma":0.002108831,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7277558,"about_ca_topic_score_gemma":0.9550906,"domain_scores_codex":[0.9930237,0.002131045,0.002324177,0.000326289,0.001205051,0.0009897664],"domain_scores_gemma":[0.9888848,0.003477284,0.00113867,0.0006216303,0.003169082,0.002708554],"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":[0.00008587246,0.00005447974,0.342178,0.0001501358,0.0006176259,0.0003343438,0.00512528,0.000009769985,0.0003480716,0.06543358,0.5803473,0.005315491],"study_design_scores_gemma":[0.001272551,0.002494622,0.1035651,0.001228526,0.0005583326,0.0000572005,0.003702751,0.00005887747,0.00002680011,0.5922417,0.2943952,0.0003983491],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5157635,0.1390983,0.04403672,0.110373,0.05389423,0.002418288,0.0008296044,0.00008115429,0.1335051],"genre_scores_gemma":[0.7779953,0.05928417,0.1228292,0.001230945,0.02656491,0.00006617458,0.0001444224,0.0004910818,0.01139372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5268081,"threshold_uncertainty_score":0.9508287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7475701468679139,"score_gpt":0.559654222389236,"score_spread":0.1879159244786779,"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."}}