{"id":"W3011814030","doi":"10.1371/journal.pone.0229465","title":"Risk factors for avoidable hospitalizations in Canada using national linked data: A retrospective cohort study","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Public Health Ontario; University of Toronto","funders":"Canadian Institutes of Health Research; University of Toronto; Canada Excellence Research Chairs, Government of Canada; University of Guelph","keywords":"Medicine; Hazard ratio; Socioeconomic status; Demography; Retrospective cohort study; Proportional hazards model; Cohort; Confidence interval; Cohort study; Underweight; Body mass index; Environmental health; Gerontology; Pediatrics; Population; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00167451,0.0006609978,0.0008198583,0.002400056,0.00333567,0.001958505,0.001586312,0.0005628641,0.001472304],"category_scores_gemma":[0.002995674,0.0008485083,0.001329224,0.008042982,0.000729705,0.0005382539,0.001587582,0.001213444,0.0002629682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02739348,"about_ca_system_score_gemma":0.04122185,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9911155,"about_ca_topic_score_gemma":0.9931381,"domain_scores_codex":[0.9978608,0.0001650887,0.0001852449,0.0004645141,0.0007321383,0.0005921671],"domain_scores_gemma":[0.9959947,0.000198951,0.0008832816,0.0003598967,0.001853149,0.0007100042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001216887,0.00005498739,0.9953002,0.00005588955,0.0002113331,0.00009974931,0.0003786476,0.0001075453,0.0001011436,0.0001036651,0.001371163,0.002094154],"study_design_scores_gemma":[0.00003006163,0.0000408991,0.9966156,0.00007221072,0.0001279363,0.0001210645,0.0006992955,0.000629953,0.00005679475,0.00004397556,0.001536575,0.00002570079],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971709,0.001279326,0.0005186612,0.0003254558,0.0000265769,0.0003005186,0.02419882,0.00003518329,0.001606554],"genre_scores_gemma":[0.9859266,0.001084012,0.001002269,0.0002609045,0.00001405149,0.0001674813,0.01068298,0.00001600737,0.0008456011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02739348,"threshold_uncertainty_score":0.1987545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2035801176820301,"score_gpt":0.3950723792928332,"score_spread":0.1914922616108031,"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."}}