{"id":"W2105779197","doi":"10.1017/s1481803500010538","title":"A brief note about likelihood ratios","year":2008,"lang":"en","type":"letter","venue":"Canadian Journal of Emergency Medicine","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Content (measure theory); Action (physics); Statistics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02807033,0.001103926,0.002288569,0.001670955,0.002167043,0.00682328,0.003096089,0.029704,0.008486587],"category_scores_gemma":[0.2523911,0.0009594812,0.001433566,0.001707336,0.00706114,0.007303217,0.002136654,0.04764863,0.005925182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003728366,"about_ca_system_score_gemma":0.002540339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005346318,"about_ca_topic_score_gemma":0.006465848,"domain_scores_codex":[0.9690413,0.01934221,0.003333068,0.001860971,0.00571215,0.000710224],"domain_scores_gemma":[0.7704289,0.2081533,0.004231586,0.004323659,0.01090773,0.001954781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009320018,0.00001756669,0.001135232,0.0001647391,0.00005723075,0.001328196,0.0002117523,0.0003380929,0.0001560851,0.04320306,0.907375,0.04591975],"study_design_scores_gemma":[0.0002047315,0.0001189584,0.002028434,0.000893622,0.00009873082,0.00617987,0.0003617145,0.001806876,0.0003775881,0.2416933,0.7460318,0.0002044373],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002226107,0.006013476,0.005664038,0.9574305,0.02379425,0.00001744595,0.0001469941,0.00007874263,0.006631936],"genre_scores_gemma":[0.01008801,0.00464313,0.007446688,0.8258446,0.1432704,0.0001037401,0.00009898836,0.0001746856,0.008329854],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.029704,"threshold_uncertainty_score":0.1484519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02776211550599338,"score_gpt":0.2718724537371784,"score_spread":0.244110338231185,"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."}}