{"id":"W2138225300","doi":"10.7202/030164ar","title":"Les dimensions géographiques de l’insécurité chez les personnes âgées : application à deux quartiers de Montréal","year":2006,"lang":"fr","type":"article","venue":"Santé mentale au Québec","topic":"Aging, Elder Care, and Social Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Political science; Art","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":[0.001052504,0.0005489371,0.0001983305,0.002286601,0.002247321,0.001664614,0.0006206367,0.0004666214,0.00244345],"category_scores_gemma":[0.003568443,0.0002272734,0.0007220746,0.002968905,0.001978961,0.0007353741,0.001360778,0.0007655633,0.0001083372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01441995,"about_ca_system_score_gemma":0.004954249,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9162709,"about_ca_topic_score_gemma":0.9489465,"domain_scores_codex":[0.999504,0.0002025982,0.00002713032,0.00004708444,0.0001049854,0.0001142377],"domain_scores_gemma":[0.9987938,0.0004285718,0.000222089,0.00004232184,0.0003445431,0.0001686401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002193877,0.0001542467,0.7957937,0.0002834424,0.0001194401,0.001161772,0.1247653,0.002021375,0.002438104,0.004444294,0.002172394,0.06642661],"study_design_scores_gemma":[0.00001457942,0.0001077484,0.9081957,0.00007688191,0.00003093441,0.0001749613,0.08281452,0.0006145751,0.0002950027,0.0003073889,0.007319889,0.00004768806],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916202,0.0006131967,0.0007693117,0.0005142472,0.00002609108,0.0001236485,0.000519307,0.00001303375,0.005800928],"genre_scores_gemma":[0.9962444,0.0007459262,0.001124899,0.00004910155,0.00001295069,0.0001233063,0.0002307747,0.000004403217,0.001464203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08372915,"threshold_uncertainty_score":0.1684445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01580581268410997,"score_gpt":0.3144017879669525,"score_spread":0.2985959752828425,"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."}}