{"id":"W4417524249","doi":"10.12927/hcpol.2025.27621","title":"Opportunities to Enhance Coding of Homelessness in Canadian Hospital Administrative Data.","year":2025,"lang":"en","type":"article","venue":"PubMed","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coding (social sciences); Health care; Health information; Healthcare system; Health policy; Health equity; Public health; Information system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1455632,0.001336985,0.001442084,0.02012094,0.00510626,0.006681674,0.005848,0.001272151,0.00569743],"category_scores_gemma":[0.4780368,0.001183802,0.002015141,0.02809446,0.00208946,0.004274712,0.009509052,0.003695891,0.001445148],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03221177,"about_ca_system_score_gemma":0.1589429,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9405643,"about_ca_topic_score_gemma":0.9591828,"domain_scores_codex":[0.8771303,0.05692919,0.02203516,0.005058194,0.03402172,0.004825442],"domain_scores_gemma":[0.4770659,0.1447865,0.0441017,0.0570624,0.2668334,0.01015016],"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":[0.00025043,0.0001750133,0.2966446,0.007626365,0.0008178721,0.0002192238,0.01353071,0.001760945,0.0009620024,0.01302296,0.370169,0.294821],"study_design_scores_gemma":[0.0002538898,0.0001161674,0.5369317,0.01745011,0.0005747131,0.0002796074,0.01298615,0.009769728,0.001672148,0.01364237,0.4056833,0.0006401314],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.08548614,0.03059806,0.1447574,0.2833603,0.01123611,0.01877956,0.3375291,0.004324764,0.08392861],"genre_scores_gemma":[0.3430123,0.01545219,0.4446464,0.02872685,0.002421902,0.009714698,0.1504132,0.001050022,0.004562417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9677882,"threshold_uncertainty_score":0.7698208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1581523195378321,"score_gpt":0.4398074429616196,"score_spread":0.2816551234237875,"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."}}