{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002889426,0.0002561016,0.0002598872,0.00224741,0.0002281629,0.0007452044,0.0003078478,0.0005578926,0.004077415],"category_scores_gemma":[0.0120041,0.0001154244,0.0003476317,0.001449534,0.0001719335,0.001173235,0.0005650045,0.0003430317,0.000700802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001894999,"about_ca_system_score_gemma":0.0004961776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008536925,"about_ca_topic_score_gemma":0.001177043,"domain_scores_codex":[0.9969837,0.001935345,0.0001830476,0.000133326,0.0006595622,0.0001049707],"domain_scores_gemma":[0.9915917,0.005597414,0.001414249,0.0001624596,0.0009550618,0.0002790887],"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":[0.0006246385,0.0007362961,0.2376844,0.00387207,0.0001666814,0.0006863512,0.002641347,0.0004223748,0.00309096,0.0007341232,0.005541226,0.7437995],"study_design_scores_gemma":[0.0001896278,0.00438515,0.9244403,0.008364976,0.0004880876,0.005459406,0.009958455,0.003138612,0.002802677,0.001976244,0.0386535,0.000142868],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.8652605,0.06108821,0.01682834,0.005799988,0.000463725,0.002825868,0.003616479,0.0004634664,0.04365337],"genre_scores_gemma":[0.9322106,0.02329907,0.03790367,0.0008919365,0.0003586271,0.001276481,0.0008048225,0.00001574072,0.003239042],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004077415,"threshold_uncertainty_score":0.0152809,"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."}}