{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003305002,0.001384582,0.003414494,0.0006419537,0.0008369269,0.001545603,0.001129128,0.002947026,0.008635503],"category_scores_gemma":[0.006286186,0.0008450493,0.003444225,0.0008886694,0.001220568,0.001276075,0.0005594747,0.003024873,0.0006985612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009360241,"about_ca_system_score_gemma":0.001885912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001932617,"about_ca_topic_score_gemma":0.003350979,"domain_scores_codex":[0.9976573,0.001118519,0.0003141183,0.0003880856,0.0002653074,0.0002566496],"domain_scores_gemma":[0.996945,0.001244822,0.0008134161,0.000194316,0.0003228315,0.000479781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.9561408,0.01553761,0.001561761,0.005056346,0.003732423,0.0000660579,0.0001150141,0.0001075788,0.0006365526,0.0001031115,0.0009447332,0.01599799],"study_design_scores_gemma":[0.9306967,0.06257388,0.002866306,0.0003836885,0.002350933,0.00002537774,0.00005539991,0.0001710064,0.0001724415,0.00007393797,0.0006148511,0.00001555691],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.928139,0.02814908,0.001234307,0.001555778,0.001986416,0.03250356,0.002562401,0.0001822781,0.0036872],"genre_scores_gemma":[0.9350714,0.01160907,0.003968913,0.002245646,0.001278207,0.0418497,0.001075232,0.00002857861,0.002873258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008635503,"threshold_uncertainty_score":0.02888858,"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."}}