{"id":"W4233862399","doi":"10.1093/geront/gnw162.089","title":"THE MONTREAL POLICE MODEL TO COUNTER MISTREATMENT OF OLDER ADULTS","year":2016,"lang":"en","type":"article","venue":"The Gerontologist","topic":"Health and Well-being Studies","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Police Service; Université de Sherbrooke","funders":"","keywords":"Psychology; Gerontology; Psychiatry; Criminology; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002703211,0.0001332685,0.0001823865,0.00001352994,0.0002306291,0.000007475812,0.0003236738,0.00005961952,0.00004995667],"category_scores_gemma":[0.00004133022,0.0000503216,0.00005897724,0.00004053293,0.0002806409,0.00001487959,0.00005765231,0.000054558,0.0002413673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006362193,"about_ca_system_score_gemma":0.00002796358,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01860983,"about_ca_topic_score_gemma":0.01215118,"domain_scores_codex":[0.9988706,0.0001042189,0.0002498721,0.0002111268,0.0001206548,0.0004435756],"domain_scores_gemma":[0.9987645,0.0004151247,0.00009281615,0.0005991008,0.00006223312,0.00006628007],"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":[0.003549042,0.0005572044,0.01166436,0.00004906139,0.0005284993,0.00001357647,0.0860262,0.00004022304,0.0001088426,0.01425131,0.4935514,0.3896603],"study_design_scores_gemma":[0.01071382,0.001826618,0.8917179,0.000433264,0.0002552212,0.00006068878,0.01685862,0.0003791339,0.0006651876,0.003976449,0.07215164,0.0009614573],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8552915,0.002044004,0.001710572,0.04648422,0.0006313374,0.0008388547,0.0000977629,0.00008148779,0.09282029],"genre_scores_gemma":[0.9852,0.00009658421,0.00004062735,0.001170406,0.0000901027,0.0001411877,7.516123e-7,0.000009894408,0.01325042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8800535,"threshold_uncertainty_score":0.9879254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03148429345195457,"score_gpt":0.3440255815310598,"score_spread":0.3125412880791053,"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."}}