{"id":"W4406883134","doi":"10.1007/s11896-025-09731-z","title":"Canadian law enforcement perceptions of older adult maltreatment, interviewing practices and training needs","year":2025,"lang":"en","type":"article","venue":"Journal of Police and Criminal Psychology","topic":"Elder Abuse and Neglect","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University; The King's University; Western University","funders":"Social Sciences and Humanities Research Council; Banting Research Foundation","keywords":"Legal psychology; Law enforcement; Interview; Perception; Psychology; Criminology; Training (meteorology); Enforcement; Social psychology; Applied psychology; Political science; Law; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002906194,0.00006809495,0.0001746409,0.0002844147,0.0002208609,0.00003071705,0.0000982718,0.00007313928,0.0001578401],"category_scores_gemma":[0.00002883848,0.00005915636,0.00005035486,0.000142487,0.0001644882,0.0001870235,0.00001063325,0.0001357019,0.000001004672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004276611,"about_ca_system_score_gemma":0.0001828141,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3118516,"about_ca_topic_score_gemma":0.3189368,"domain_scores_codex":[0.9992776,0.0001071868,0.0002550855,0.00007705715,0.00008743958,0.0001956449],"domain_scores_gemma":[0.9993358,0.00008542181,0.0002556954,0.0000589335,0.0001201685,0.0001440256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009965747,0.0001317694,0.01612797,0.00009736009,0.0002958876,0.00001457787,0.8333486,5.047103e-7,0.001273677,0.07218226,0.00462437,0.07180336],"study_design_scores_gemma":[0.002045699,0.001255786,0.03674417,0.001100022,0.0009812891,0.0002598822,0.8524377,0.000006640049,0.00021856,0.003812271,0.1008969,0.0002411064],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9065376,0.0009691342,0.00004201237,0.007732597,0.0001631388,0.00005592855,0.000002220556,0.000002324465,0.08449504],"genre_scores_gemma":[0.9881101,0.003953477,0.0001444612,0.007339634,0.0001210898,0.000001498497,2.744617e-7,0.000002977043,0.000326549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09627253,"threshold_uncertainty_score":0.6934909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07124401352515035,"score_gpt":0.4313031554197757,"score_spread":0.3600591418946253,"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."}}