{"id":"W2413276256","doi":"10.1177/070674370104600525","title":"Using Databases to Prevent Inpatient Morbidity","year":2001,"lang":"en","type":"letter","venue":"The Canadian Journal of Psychiatry","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Calgary Laboratory Services","funders":"","keywords":"MEDLINE; Medicine; Database; Computer science; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0113612,0.0002963524,0.0007663202,0.00279736,0.001825474,0.003912258,0.001706846,0.009145734,0.004729361],"category_scores_gemma":[0.1155903,0.0006131554,0.0009071956,0.002943203,0.0009399013,0.003154919,0.001799419,0.00645279,0.00141138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003410469,"about_ca_system_score_gemma":0.009301212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05471824,"about_ca_topic_score_gemma":0.08447516,"domain_scores_codex":[0.9907703,0.004198747,0.001957584,0.0003799727,0.001977516,0.0007158904],"domain_scores_gemma":[0.8926294,0.07164804,0.008730598,0.004720622,0.01412273,0.008148592],"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":[0.0001704148,0.0001860855,0.08002742,0.0003892526,0.0001466054,0.001277383,0.0007200909,0.0002402894,0.0001998223,0.006535184,0.8112404,0.09886713],"study_design_scores_gemma":[0.001254058,0.0004641186,0.2027203,0.006313405,0.0008003904,0.003807983,0.007025102,0.004969664,0.001104855,0.02904873,0.7422649,0.000226526],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01496946,0.003023417,0.0007703878,0.9569313,0.004661282,0.0001242196,0.0009409465,0.00009515419,0.01848387],"genre_scores_gemma":[0.2391868,0.01415773,0.006709736,0.701324,0.02394803,0.0008835436,0.002442133,0.0001108843,0.01123713],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05471824,"threshold_uncertainty_score":0.1087995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07192844651878362,"score_gpt":0.3280422629133317,"score_spread":0.2561138163945481,"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."}}