{"id":"W1966844319","doi":"10.2196/mhealth.3165","title":"Integrating Mobile Phones into Medical Abortion Provision: Intervention Development, Use, and Lessons Learned From a Randomized Controlled Trial","year":2014,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Reproductive Health and Contraception","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Cape Town; World Health Organization","keywords":"Randomized controlled trial; Intervention (counseling); Abortion; Protocol (science); Medical abortion; mHealth; Medicine; Mobile phone; Family medicine; Medical emergency; Psychological intervention; Medical education; Internet privacy; Alternative medicine; Nursing; Computer science; Pregnancy","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":[],"consensus_categories":[],"category_scores_codex":[0.005284819,0.0002686828,0.001692396,0.0001963522,0.0004094027,0.00006990117,0.00005474463,0.0002699801,0.00008134665],"category_scores_gemma":[0.003541499,0.00018611,0.0001456253,0.0001549637,0.0001731799,0.0002288072,0.00003998423,0.000549302,0.000009027404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001355119,"about_ca_system_score_gemma":0.0008178925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001356578,"about_ca_topic_score_gemma":0.000472951,"domain_scores_codex":[0.9956672,0.001173953,0.001478236,0.0007027317,0.0005339871,0.0004439115],"domain_scores_gemma":[0.9970601,0.0009358255,0.0006793466,0.000255749,0.0002328641,0.0008361524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.5779915,0.000299982,0.0009787078,0.0006779911,0.00004668128,0.000001781409,0.002298649,1.514777e-7,0.00005661813,0.0004163699,0.00009821436,0.4171334],"study_design_scores_gemma":[0.9717077,0.001501762,0.01611508,0.0006892688,0.0001989189,0.00001822003,0.0007113271,0.003595933,0.00003218161,0.00119317,0.004042513,0.0001938993],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746313,0.002174342,0.005188489,0.01020835,0.0005346338,0.007070079,0.000002320789,0.0001070857,0.00008336904],"genre_scores_gemma":[0.9902183,0.002766917,0.002020888,0.001289343,0.001041481,0.002335985,0.0001182361,0.00002585225,0.0001829756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4169395,"threshold_uncertainty_score":0.7589346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05900576760833053,"score_gpt":0.4134490286168275,"score_spread":0.354443261008497,"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."}}