{"id":"W3024490025","doi":"10.1017/cem.2020.208","title":"MP60: Application of routinely collected administrative data to track demographic and mental health characteristics of people experiencing homelessness","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Mental health; Emergency department; Presentation (obstetrics); Health care; Family medicine; Psychiatry; Gerontology","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":[0.003012816,0.0009517999,0.000921824,0.004604578,0.0008311871,0.001489851,0.001428749,0.0006649826,0.005216188],"category_scores_gemma":[0.01326022,0.0007851481,0.001182222,0.004376569,0.0001908745,0.001208619,0.002607651,0.0009447293,0.001830331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001283558,"about_ca_system_score_gemma":0.003420881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09657739,"about_ca_topic_score_gemma":0.1002716,"domain_scores_codex":[0.9980211,0.0004166149,0.0004564734,0.0004235154,0.0004970373,0.0001851881],"domain_scores_gemma":[0.9936888,0.001454085,0.001852703,0.0006000244,0.001853597,0.0005508073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001091484,0.0009595802,0.8658271,0.0004818256,0.0007294739,0.000161843,0.001739641,0.001277459,0.0009114859,0.0005657392,0.04860705,0.07764722],"study_design_scores_gemma":[0.0001948873,0.0002694707,0.9862167,0.00007134572,0.0001211023,0.00009298149,0.0006523932,0.002857446,0.0003703749,0.0002546059,0.00885306,0.0000456448],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6381406,0.0002972512,0.008874046,0.0007797899,0.0001530201,0.00461204,0.3353762,0.001981346,0.009785624],"genre_scores_gemma":[0.7559916,0.0005540156,0.0375256,0.000614039,0.0002074227,0.01192957,0.1844979,0.0003270295,0.008352768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09657739,"threshold_uncertainty_score":0.1920305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2036131312308235,"score_gpt":0.4536447910782586,"score_spread":0.250031659847435,"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."}}