{"id":"W4390080392","doi":"10.1093/geroni/igad104.2906","title":"DETECTING UNDUE HARM ARISING FROM ELDER ABUSE SCREENING: INNOVATIVE METHODS FROM THE EASI-LTC© PILOT STUDY","year":2023,"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":"McGill University","funders":"","keywords":"Elder abuse; Harm; Typology; Feeling; Interim; Medicine; Psychology; Phone; Nursing; Psychiatry; Suicide prevention; Poison control; Medical emergency; Social psychology; Political science; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004110303,0.0001820972,0.0002318046,0.0005402557,0.0009826646,0.000263163,0.0004363655,0.00007139572,0.00009906154],"category_scores_gemma":[0.001626523,0.0001640331,0.00002346742,0.01228548,0.0001138592,0.0004805195,0.0001157156,0.0006020952,0.0000309292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001177921,"about_ca_system_score_gemma":0.0001278579,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03527564,"about_ca_topic_score_gemma":0.00874042,"domain_scores_codex":[0.9969404,0.001010435,0.0006938159,0.0004541253,0.0004604039,0.0004408413],"domain_scores_gemma":[0.9968005,0.002157173,0.0003198831,0.000303437,0.0003895004,0.00002945082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004856482,0.000174026,0.4490863,0.000003014374,0.0001468134,0.00002580154,0.4234148,0.00007727868,0.01423971,0.002377162,0.0003917573,0.1100147],"study_design_scores_gemma":[0.001987151,0.0002428478,0.5984088,0.0007361321,0.0000534109,4.719595e-7,0.3409319,0.0009647501,0.01120377,0.04048789,0.004186054,0.0007969453],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9663914,0.00007419313,0.028997,0.001193071,0.0005549372,0.0004964908,0.00000490255,0.0003206801,0.001967327],"genre_scores_gemma":[0.9858404,0.00002701477,0.01264096,0.0008866464,0.0004189496,0.00005686625,0.00002306379,0.00003158674,0.00007448759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1493224,"threshold_uncertainty_score":0.9711486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1691703376584506,"score_gpt":0.4378888908164899,"score_spread":0.2687185531580393,"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."}}