{"id":"W4210918493","doi":"10.2196/28959","title":"Mobile Phone Apps for Intimate Partner and Sexual Violence Prevention and Response: Systematic Search on App Stores","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute on Alcohol Abuse and Alcoholism","keywords":"Android (operating system); Internet privacy; Phone; Mobile apps; App store; Domestic violence; Sexual violence; Mobile phone; Computer security; Medicine; Psychology; World Wide Web; Poison control; Suicide prevention; Computer science; Medical emergency; Criminology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01231397,0.0001706114,0.0004012861,0.0004864885,0.004624013,0.00002849792,0.0002463369,0.0001064875,0.0001614571],"category_scores_gemma":[0.0003440741,0.0001463878,0.000032563,0.0005759402,0.0002165338,0.0001808935,0.0005121667,0.001445646,0.0001314314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005446054,"about_ca_system_score_gemma":0.0008085733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001104347,"about_ca_topic_score_gemma":0.00002575016,"domain_scores_codex":[0.9918697,0.004882056,0.0007805069,0.0004597957,0.0008976743,0.001110283],"domain_scores_gemma":[0.994314,0.004174312,0.0002240564,0.0004549047,0.0003909458,0.0004417475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"qualitative","study_design_scores_codex":[0.02585843,0.003070632,0.005370073,0.2958216,0.0002018122,0.00001120854,0.1890916,0.0002064092,0.002520043,0.05849108,0.2555418,0.1638154],"study_design_scores_gemma":[0.0159274,0.03063851,0.02488074,0.01545372,0.00006558085,0.00006099415,0.5957977,0.03787029,0.00039429,0.0173573,0.260173,0.00138041],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721974,0.001212138,0.0006282219,0.001095056,0.0001351712,0.02403077,0.0002481084,0.00009468328,0.0003584717],"genre_scores_gemma":[0.7991356,0.0004509985,0.0001498759,0.0003788966,0.00004538997,0.1977979,0.00006650312,0.00003122807,0.00194361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4067062,"threshold_uncertainty_score":0.9966719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1142062156707365,"score_gpt":0.5397754634143483,"score_spread":0.4255692477436118,"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."}}