{"id":"W4232430650","doi":"10.21203/rs.3.rs-489471/v1","title":"Content and Analysis of a Knowledge Translation Activity for an Elder Abuse Detection Tool: A Descriptive Study","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Elder Abuse and Neglect","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"St. George's, University of London","keywords":"Descriptive statistics; Elder abuse; Knowledge translation; Content analysis; Psychology; Medical education; Descriptive research; Medicine; Human factors and ergonomics; Knowledge management; Poison control; Computer science; Medical emergency; Sociology; Social science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02334489,0.000459701,0.0009500926,0.005475134,0.002925348,0.004063434,0.001044233,0.0009229885,0.001563486],"category_scores_gemma":[0.07271412,0.0005741754,0.0006656741,0.006459369,0.003157788,0.002675313,0.003189243,0.001224962,0.000490544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004640328,"about_ca_system_score_gemma":0.006389967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003240993,"about_ca_topic_score_gemma":0.002990316,"domain_scores_codex":[0.9829006,0.01023914,0.002264352,0.0007751808,0.00274582,0.001075043],"domain_scores_gemma":[0.9162912,0.06363589,0.007170156,0.001789381,0.01001127,0.001102179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001720458,0.000916881,0.1097899,0.001079656,0.00002166573,0.001006438,0.8476357,0.00008755054,0.001934353,0.0007863911,0.0006080945,0.03596142],"study_design_scores_gemma":[0.00003164367,0.0006910806,0.1147967,0.0007890921,0.00003819483,0.0009622038,0.8703901,0.0007211624,0.002249697,0.0003773183,0.008891865,0.00006102492],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995628,0.0001060436,0.001275035,0.0001987883,0.000009177626,0.000965786,0.0002319744,0.00001258033,0.001572561],"genre_scores_gemma":[0.9903582,0.0004716117,0.004070026,0.0002691995,0.00001645754,0.003019275,0.0003725622,0.00004016318,0.001382571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02334489,"threshold_uncertainty_score":0.1234611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4142404851429841,"score_gpt":0.491141875797602,"score_spread":0.07690139065461798,"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."}}