{"id":"W4417524756","doi":"10.12927/hcpol.2025.27743","title":"Commentary: Enhancing Health Data for Systems Change to Prevent Homelessness in Canada","year":2025,"lang":"en","type":"article","venue":"Healthcare policy","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Leverage (statistics); Data system; Public health; Healthcare system; Health insurance; Health data; Social determinants of health; Poverty; Health policy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0157346,0.001532459,0.002800814,0.002105304,0.01163008,0.00673869,0.01144206,0.08606677,0.01810533],"category_scores_gemma":[0.1300679,0.00143562,0.003421769,0.003749273,0.0110519,0.005749445,0.003709281,0.0601014,0.006062591],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04777842,"about_ca_system_score_gemma":0.1565188,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6047229,"about_ca_topic_score_gemma":0.604275,"domain_scores_codex":[0.9816331,0.005195077,0.001763571,0.001684198,0.006837884,0.002886183],"domain_scores_gemma":[0.8754374,0.0695836,0.003600725,0.002071632,0.03863251,0.0106741],"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":[0.00002611016,0.000005335917,0.00006695839,0.0002804148,0.00001748269,0.00006052314,0.0001198969,0.00004496493,0.00002639775,0.0008242946,0.9963433,0.002184317],"study_design_scores_gemma":[0.0002149517,0.00004442155,0.001186535,0.004635796,0.000137588,0.0002215507,0.000952435,0.0004282007,0.0002069846,0.00475383,0.9870855,0.0001321332],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001014067,0.001869394,0.00006628128,0.9612615,0.03499236,0.00003747393,0.0002688263,0.00003470998,0.00136804],"genre_scores_gemma":[0.001904242,0.001663635,0.0002373679,0.9743066,0.01874677,0.0000893755,0.00007609124,0.00002761712,0.002948197],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9522216,"threshold_uncertainty_score":0.7952099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1418231900082757,"score_gpt":0.4909749571934768,"score_spread":0.3491517671852011,"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."}}