{"id":"W2606823425","doi":"10.23889/ijpds.v1i1.376","title":"Social Housing and Health in Manitoba","year":2017,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Manitoba; Manitoba Health","funders":"","keywords":"Residence; Confounding; Population; Demography; Gerontology; Public housing; Social determinants of health; Environmental health; Medicine; Psychology; Public health; Sociology; Economics; Economic growth","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":[0.0004691864,0.0003129182,0.000161143,0.001468288,0.002252874,0.0009612037,0.0008589628,0.000244931,0.00419732],"category_scores_gemma":[0.0009350904,0.0002362509,0.0003024634,0.00256561,0.0005677128,0.000188469,0.00137015,0.0005113169,0.0003272943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01356047,"about_ca_system_score_gemma":0.01945559,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9633268,"about_ca_topic_score_gemma":0.9816902,"domain_scores_codex":[0.9996741,0.0000709623,0.00001770194,0.00003328912,0.00007132733,0.0001325834],"domain_scores_gemma":[0.9991971,0.00005270421,0.0001298216,0.00002172519,0.000249903,0.0003487823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002854895,0.00008349542,0.9811313,0.0001130894,0.00005783801,0.0002711595,0.001471611,0.0001128057,0.0002040419,0.0003931902,0.004714481,0.01141849],"study_design_scores_gemma":[0.000006135702,0.00002091083,0.9952779,0.000104174,0.00001615476,0.00005236593,0.001987035,0.0000897096,0.00002861134,0.00005803599,0.002353626,0.000005397354],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691808,0.007800203,0.0001299988,0.005311475,0.0001460001,0.000145927,0.006092392,0.00003674468,0.01115642],"genre_scores_gemma":[0.9900019,0.00331665,0.0002717917,0.0005820911,0.00004122653,0.00008274172,0.001570184,0.000005946738,0.004127435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03667325,"threshold_uncertainty_score":0.09838855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.299601827195759,"score_gpt":0.5437632605113162,"score_spread":0.2441614333155572,"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."}}