{"id":"W3211059084","doi":"","title":"Aging in dignity: Wrap Around Support in Toronto Community Housing","year":2019,"lang":"en","type":"article","venue":"York University Digital Library (York University)","topic":"Aging, Elder Care, and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dignity; Aging in place; Public housing; Gerontology; Sociology; Political science; Medicine; Law","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":[0.0008628133,0.0001717459,0.0001470075,0.0004047665,0.006934119,0.001991397,0.0008395208,0.0005008774,0.004385612],"category_scores_gemma":[0.002331942,0.0001378385,0.0001578779,0.0008803596,0.003038333,0.001150993,0.004199192,0.0008176893,0.0002148662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01726932,"about_ca_system_score_gemma":0.02907065,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4863172,"about_ca_topic_score_gemma":0.8336655,"domain_scores_codex":[0.9989471,0.0003670992,0.00003395723,0.00004623259,0.0001835602,0.0004222128],"domain_scores_gemma":[0.997547,0.0001971952,0.0001696784,0.00005335085,0.0002718573,0.001760986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001497784,0.0002388281,0.06945226,0.0006314639,0.00002888397,0.003905911,0.7727955,0.000212889,0.00114796,0.00906192,0.04883744,0.09353717],"study_design_scores_gemma":[0.00001594674,0.0002360146,0.07259027,0.0004233345,0.00001952729,0.0003131281,0.835086,0.0001280685,0.0002374215,0.0006946606,0.09023093,0.00002473823],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642188,0.00113515,0.0001939632,0.008526148,0.0001850264,0.00009136093,0.0001230008,0.00001831734,0.02550811],"genre_scores_gemma":[0.9936215,0.0006481864,0.0002621111,0.0007117743,0.00002779162,0.00003458536,0.00005999425,0.000006354359,0.004627628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5136828,"threshold_uncertainty_score":0.9669729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02902312545199803,"score_gpt":0.2682157041663198,"score_spread":0.2391925787143218,"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."}}