{"id":"W2730801550","doi":"10.1093/geroni/igx004.3721","title":"INTERVENTIONS AND TRAINING TO PREVENT ELDER ABUSE: CANADIAN EXAMPLES","year":2017,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Elder Abuse and Neglect","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Government of Canada","keywords":"Banner; General partnership; Government (linguistics); Elder abuse; Presentation (obstetrics); Face (sociological concept); Political science; Psychological intervention; The Internet; Public relations; Medical education; Nursing; Medicine; Suicide prevention; Poison control; Sociology; Medical emergency; 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":[0.0005929404,0.00004168905,0.00005804382,0.0003208695,0.0006958167,0.0001590536,0.000139022,0.00003116775,0.00008639056],"category_scores_gemma":[0.0002551241,0.00004814519,0.00001184367,0.0002898224,0.0000495853,0.0002445074,0.00001653234,0.0000715408,0.000005781025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006710273,"about_ca_system_score_gemma":0.0001200498,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1782055,"about_ca_topic_score_gemma":0.809891,"domain_scores_codex":[0.9994158,0.00003333519,0.0001716054,0.0001150583,0.00007633567,0.0001879006],"domain_scores_gemma":[0.9996878,0.00002377775,0.00006325086,0.0001122071,0.00005794471,0.00005503685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000002671566,0.00003691835,0.1441188,0.00003163037,0.00001650438,0.00001358982,0.4664285,0.00000760554,0.0004638708,0.1755324,0.001164267,0.2121832],"study_design_scores_gemma":[0.0007465547,0.00005702648,0.7595929,0.003562593,0.00001752512,0.000003193322,0.03883076,0.00002310808,0.001021491,0.02733779,0.1682039,0.0006031386],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758442,0.0000745085,0.0003437288,0.003897056,0.0001794855,0.0001506813,0.000001384933,0.00001931405,0.01948963],"genre_scores_gemma":[0.998547,0.00004684101,0.0004268075,0.0003931013,0.00007263394,0.00001890338,0.000001613397,0.000004527252,0.0004885582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6316854,"threshold_uncertainty_score":0.8272669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1117550165362088,"score_gpt":0.3898985339255435,"score_spread":0.2781435173893347,"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."}}