{"id":"W3194284178","doi":"10.2196/30404","title":"Characteristics and Quality of Mobile Apps Containing Prenatal Genetic Testing Information: Systematic App Store Search and Assessment","year":2021,"lang":"en","type":"review","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genetic testing; mHealth; Medicine; Prenatal care; Mobile apps; Test (biology); Quality (philosophy); Genetic counseling; App store; Family medicine; Internet privacy; Computer science; World Wide Web; Nursing; Population; Psychological intervention; Genetics; Biology; 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":[0.02137854,0.0006972745,0.002024356,0.01557201,0.000883476,0.002135633,0.0009922973,0.000969939,0.001193444],"category_scores_gemma":[0.1251516,0.0006842424,0.002522365,0.007917012,0.0008341419,0.003637068,0.003367457,0.0008852303,0.0003357207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001145045,"about_ca_system_score_gemma":0.004890016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003581897,"about_ca_topic_score_gemma":0.009340267,"domain_scores_codex":[0.9812331,0.005953454,0.006985453,0.00094793,0.004370555,0.0005095545],"domain_scores_gemma":[0.8320302,0.1178575,0.02857869,0.002695298,0.01760219,0.001236054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00153408,0.0004395581,0.5456842,0.08752033,0.002131083,0.001466441,0.03217419,0.000445675,0.001727424,0.0006754728,0.006098875,0.3201028],"study_design_scores_gemma":[0.0006012019,0.003532166,0.7652639,0.1275828,0.009879599,0.00570515,0.03598341,0.005197204,0.003129018,0.001545079,0.04100139,0.0005790691],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9088347,0.06142718,0.004399382,0.001651517,0.0001478836,0.008385478,0.01107045,0.0002189517,0.003864383],"genre_scores_gemma":[0.9330287,0.03092176,0.01960317,0.0008898912,0.00007891145,0.008979076,0.005595985,0.00007457582,0.0008279571],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02137854,"threshold_uncertainty_score":0.1130619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2394320516480997,"score_gpt":0.5431604412976014,"score_spread":0.3037283896495017,"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."}}