{"id":"W1585484470","doi":"10.2427/5728","title":"What do we know about interactive computer-assisted screening for intimate partner violence and control in clinical settings? A systematic review","year":2024,"lang":"en","type":"review","venue":"Italian Journal of Public Health","topic":"Intimate Partner and Family Violence","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"","keywords":"Medicine; Domestic violence; Control (management); Intensive care medicine; Medical emergency; Computer science; Human factors and ergonomics; Poison control; Artificial intelligence","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":["metaresearch","metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0319051,0.0004988766,0.005222776,0.0005645046,0.0002743015,0.001287883,0.0008315366,0.0003201911,0.00001523778],"category_scores_gemma":[0.002247274,0.0003522861,0.001068201,0.0007901436,0.0003250559,0.001295368,0.0001107551,0.001352624,0.00002514111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005007785,"about_ca_system_score_gemma":0.002817241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003113571,"about_ca_topic_score_gemma":0.00002011519,"domain_scores_codex":[0.9871318,0.00572794,0.00497096,0.0005626425,0.0006739661,0.0009326673],"domain_scores_gemma":[0.9918396,0.002171859,0.004201039,0.0003094477,0.0006756402,0.0008024211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000003556051,0.00005086852,0.000004554252,0.3858715,0.0001872568,0.00002812213,0.0009722364,5.786069e-8,1.300939e-9,0.0005316447,0.001394291,0.610956],"study_design_scores_gemma":[0.0002479352,0.0002007758,0.000006193022,0.6899914,0.000575833,0.0001233967,0.001485166,0.00009287204,1.056979e-9,0.00009487772,0.3069679,0.0002137327],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[8.900483e-7,0.9849978,0.005376884,0.003767987,0.002197091,0.003515991,0.00006047171,0.00003001126,0.00005289285],"genre_scores_gemma":[0.0001055715,0.9959686,0.001263549,0.001741629,0.0006599196,0.0001604534,0.000009916988,0.00005034705,0.00003999147],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6107422,"threshold_uncertainty_score":0.9998929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1386044345420244,"score_gpt":0.4883155708084423,"score_spread":0.3497111362664179,"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."}}