{"id":"W4405293073","doi":"10.1016/j.jclinepi.2024.111615","title":"Corrigendum to ‘Identification of homelessness using health administrative data in Ontario, Canada following a national coding mandate: a validation study’ [Journal of Clinical Epidemiology 172 (2024) 111430]","year":2024,"lang":"en","type":"erratum","venue":"Journal of Clinical Epidemiology","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; Toronto Public Health; Public Health Ontario; University of Toronto; London Health Sciences Centre","funders":"","keywords":"Mandate; Epidemiology; Identification (biology); Coding (social sciences); Public health; Environmental health; Medicine; Public administration; Political science; Sociology; Nursing; Law; Social science; Pathology; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.006950101,0.001874199,0.002727119,0.004505479,0.009726777,0.0043598,0.005037246,0.01239731,0.05750741],"category_scores_gemma":[0.07092544,0.002214288,0.002973462,0.003828269,0.003608342,0.001467946,0.0029403,0.01053735,0.0290992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02070547,"about_ca_system_score_gemma":0.04078399,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.813575,"about_ca_topic_score_gemma":0.8664965,"domain_scores_codex":[0.9900025,0.001092897,0.002100314,0.0009270975,0.004411926,0.001465135],"domain_scores_gemma":[0.9388095,0.009475834,0.002136141,0.001758054,0.04507548,0.002745053],"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":[0.000006838489,0.000004087306,0.00009296314,0.00001838343,0.000003238065,0.0000616378,0.00001718072,0.000007751854,0.000006256635,0.00005283823,0.9990665,0.0006622986],"study_design_scores_gemma":[0.0001085837,0.00003149721,0.01191789,0.0005798264,0.00006732225,0.0002486465,0.0004665688,0.0002968998,0.0001348874,0.000508039,0.9855283,0.0001116155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0003616414,0.001021543,0.0003157645,0.1804795,0.804424,0.0001355931,0.005709072,0.0003511924,0.007201672],"genre_scores_gemma":[0.007408582,0.003294481,0.00217326,0.5291849,0.1176462,0.0006776213,0.007126714,0.0007612405,0.331727],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.186425,"threshold_uncertainty_score":0.3750457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6878621657538403,"score_gpt":0.6472457585742227,"score_spread":0.04061640717961756,"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."}}