{"id":"W2913044533","doi":"10.2196/10520","title":"A Mobile Prenatal Care App to Reduce In-Person Visits: Prospective Controlled Trial","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"George Washington University","keywords":"Prenatal care; Medicine; Patient satisfaction; Telemedicine; Nursing; Health care; Population; Environmental health","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001715636,0.0004879283,0.001475091,0.000567013,0.001128439,0.00002220575,0.0003242963,0.0005277318,0.0002917619],"category_scores_gemma":[0.0001926286,0.0004365746,0.0001170462,0.0009586079,0.00005268454,0.0001984001,0.0001176424,0.001694477,0.0009483687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001326458,"about_ca_system_score_gemma":0.00445439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001134062,"about_ca_topic_score_gemma":0.0008153227,"domain_scores_codex":[0.9931427,0.0008942021,0.001798766,0.001320156,0.0005492734,0.002294963],"domain_scores_gemma":[0.9951677,0.0006771139,0.0007011639,0.0008709719,0.0003537939,0.002229214],"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":[0.5673605,0.001947898,0.1098287,0.03600872,0.00006397352,0.00001751234,0.1057803,0.00005671351,0.000086301,0.02338173,0.02415441,0.1313132],"study_design_scores_gemma":[0.6437331,0.01170198,0.0902634,0.00158135,0.00009727681,0.00001290906,0.03942789,0.0003219626,0.00001604998,0.0004424309,0.2112666,0.001134999],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9015648,0.00323878,0.00003170565,0.001876207,0.001607714,0.07872367,0.0001270799,0.0002808464,0.01254921],"genre_scores_gemma":[0.8866501,0.001087221,0.000471472,0.006307249,0.0009053199,0.1017028,0.00009310794,0.00008040274,0.002702392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1871122,"threshold_uncertainty_score":0.9998295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03672469417569249,"score_gpt":0.4414787370033156,"score_spread":0.4047540428276231,"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."}}