{"id":"W4327520540","doi":"10.15173/mujph.v1i1.3100","title":"Canada HomeShare: The Canadian Intergenerational Housing Program","year":2022,"lang":"en","type":"article","venue":"McMaster University Journal of Public Health","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Nice; Gerontology; Cohesion (chemistry); Economic growth; Public housing; Older people; Political science; Psychology; Medicine; Economics","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":[0.001157204,0.0003642168,0.000255692,0.0008010475,0.00764896,0.0014565,0.00159406,0.000504554,0.01797473],"category_scores_gemma":[0.001991306,0.0002340903,0.0004197783,0.001308737,0.0005862785,0.0004714066,0.003060094,0.001233114,0.001719277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03234994,"about_ca_system_score_gemma":0.157947,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9860654,"about_ca_topic_score_gemma":0.99728,"domain_scores_codex":[0.9990705,0.00008401342,0.00001299558,0.00005103481,0.0003686402,0.0004129584],"domain_scores_gemma":[0.9961129,0.00005031069,0.00004711446,0.00006173413,0.001257745,0.002470095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002614074,0.000540178,0.02220901,0.0001821409,0.00003825451,0.0001683561,0.001428303,0.0002789038,0.0004138064,0.004551213,0.7332671,0.2366614],"study_design_scores_gemma":[0.0003172677,0.0002021834,0.2272636,0.0005279455,0.00005628143,0.0001324446,0.003603383,0.0006194138,0.0003140004,0.0009632288,0.7659256,0.00007462822],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2228968,0.01011197,0.00511362,0.06244369,0.002967591,0.005260331,0.07086504,0.001611402,0.6187295],"genre_scores_gemma":[0.6318699,0.009365533,0.02266655,0.02083706,0.0003159822,0.004374681,0.0295592,0.000362079,0.280649],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03234994,"threshold_uncertainty_score":0.2347164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04983866908183603,"score_gpt":0.2697643304025763,"score_spread":0.2199256613207403,"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."}}