{"id":"W2951194509","doi":"10.1136/bmjhci-2019-000025","title":"Web and mobile-based technologies for monitoring high-risk pregnancies","year":2019,"lang":"en","type":"article","venue":"BMJ Health & Care Informatics","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics","funders":"Iran University of Medical Sciences","keywords":"Web application; High risk pregnancy; Computer science; Mobile technology; Pregnancy; Mobile device; World Wide Web; Biology","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001293886,0.0002929789,0.0006320731,0.0002744939,0.00161414,0.00002241991,0.0002893892,0.0004354537,0.00001940101],"category_scores_gemma":[0.0003944663,0.0002620065,0.0000713139,0.0003354137,0.00008448719,0.0002288092,0.0001365299,0.0008537627,0.0001911408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005598235,"about_ca_system_score_gemma":0.003769581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002879716,"about_ca_topic_score_gemma":0.0001163944,"domain_scores_codex":[0.9960581,0.0001444607,0.001920738,0.0002641065,0.0003325277,0.001280073],"domain_scores_gemma":[0.9955628,0.001298552,0.001383259,0.0008690185,0.000500045,0.0003863313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002646155,0.00007547471,0.2709787,0.06407742,0.00002989697,3.979264e-7,0.02084313,0.0004884237,0.000009151035,0.007761297,0.02229126,0.6131803],"study_design_scores_gemma":[0.004717913,0.001202921,0.01086797,0.002453967,0.00003315652,0.000002567642,0.09217891,0.003842704,0.0000679943,0.0004095816,0.883745,0.0004773842],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8910892,0.0121652,0.007612697,0.00751591,0.003949387,0.07191811,0.001494824,0.00238678,0.001867888],"genre_scores_gemma":[0.8602607,0.005369073,0.06158797,0.004086581,0.0003538606,0.06775793,0.0002345311,0.0000795926,0.0002698133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8614537,"threshold_uncertainty_score":0.9999832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02770297273431254,"score_gpt":0.4107633702092144,"score_spread":0.3830603974749018,"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."}}