{"id":"W2915953111","doi":"10.2147/jmdh.s194599","title":"&lt;p&gt;Identification of priorities for multidisciplinary intersectoral research on violence against older women&lt;/p&gt;","year":2019,"lang":"en","type":"article","venue":"Journal of Multidisciplinary Healthcare","topic":"Elder Abuse and Neglect","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario HIV Treatment Network; Public Health Ontario; University of Toronto; Women's College Hospital","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Multidisciplinary approach; Identification (biology); Medicine; Gerontology; Biology; Social science; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01439188,0.0003899011,0.0007715887,0.002121346,0.010496,0.008313329,0.001282155,0.00341818,0.01490214],"category_scores_gemma":[0.02515879,0.000504975,0.0007723939,0.001991448,0.002611684,0.004125588,0.01243918,0.004511358,0.0007728516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0116457,"about_ca_system_score_gemma":0.1023579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02702702,"about_ca_topic_score_gemma":0.08305083,"domain_scores_codex":[0.9898676,0.005240262,0.0005439929,0.0002979004,0.0008631752,0.003187055],"domain_scores_gemma":[0.9560687,0.006806666,0.002834803,0.0006744933,0.00584072,0.02777455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007137615,0.001336757,0.3045425,0.005348035,0.0002620704,0.002796351,0.07674287,0.0005518012,0.002224437,0.04058442,0.1516882,0.413209],"study_design_scores_gemma":[0.0001624634,0.000612041,0.2096989,0.01214353,0.0001886166,0.001198283,0.6375176,0.001100705,0.0009943487,0.03296455,0.1032924,0.0001265872],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.392002,0.01507693,0.003838143,0.5360672,0.002870335,0.001524024,0.001222298,0.0001086825,0.04729026],"genre_scores_gemma":[0.939504,0.009228491,0.01298743,0.02476086,0.0006555576,0.002012769,0.0008988084,0.00004171926,0.009910436],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02702702,"threshold_uncertainty_score":0.0844959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06898427357090364,"score_gpt":0.4199583685331517,"score_spread":0.350974094962248,"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."}}