{"id":"W4413528722","doi":"10.64628/aam.6fwfmergu","title":"How technology can help victims of intimate partner violence","year":2023,"lang":"en","type":"article","venue":"","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Domestic violence; Psychology; Intimate partner; Criminology; Internet privacy; Business; Computer security; Social psychology; Medical emergency; Computer science; Suicide prevention; Poison control; Medicine","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":[0.0001012407,0.00008459158,0.0001383711,0.0001677834,0.00007732285,0.00003352359,0.0004976505,0.00003795066,0.0000141086],"category_scores_gemma":[0.00002180054,0.00006582157,0.00003462905,0.0007824924,0.00007971082,0.0001341349,0.0005751154,0.00005272098,0.00006493295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001000576,"about_ca_system_score_gemma":0.00001597391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001170312,"about_ca_topic_score_gemma":0.00006287589,"domain_scores_codex":[0.9992709,0.000008184948,0.0001230886,0.0002091542,0.0001469145,0.000241819],"domain_scores_gemma":[0.9994678,0.00002559195,0.00003806573,0.0003831872,0.00005984723,0.00002543659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001740838,0.00002404035,0.004206535,0.00002693984,0.00004296035,0.0000117241,0.0004326266,0.00004056683,0.004284334,0.9072499,0.006686655,0.07699195],"study_design_scores_gemma":[0.001327776,0.0006769917,0.02158365,0.0002738046,0.00004057462,0.0000250776,0.002727376,0.04097606,0.6895792,0.1254804,0.116109,0.001200078],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5399188,0.0004597015,0.2945239,0.0695511,0.001404751,0.0008276585,0.00001109303,0.004921101,0.08838185],"genre_scores_gemma":[0.9942178,0.0001196305,0.002183961,0.000154345,0.00001285164,0.00002030559,0.000001106396,0.000003992927,0.003286023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7817695,"threshold_uncertainty_score":0.2684126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01840759223020089,"score_gpt":0.2574280539422155,"score_spread":0.2390204617120146,"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."}}