{"id":"W2074983524","doi":"10.2196/mhealth.3347","title":"Internet Use and Access Among Pregnant Women via Computer and Mobile Phone: Implications for Delivery of Perinatal Care","year":2015,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"The Internet; Mobile phone; Psychological intervention; Internet access; Referral; mHealth; Medicine; Population; Logistic regression; Mobile technology; Family medicine; Computer science; Mobile device; Nursing; World Wide Web; Telecommunications; Environmental health; Internal medicine","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"],"consensus_categories":[],"category_scores_codex":[0.0008311951,0.0002901815,0.0006469372,0.0002240122,0.0008679433,0.00003789908,0.0002069119,0.0002973263,0.00001502236],"category_scores_gemma":[0.00005981734,0.0002646643,0.00003506351,0.000244415,0.0002779048,0.0004366977,0.0003074636,0.0004893562,0.000004321504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003655691,"about_ca_system_score_gemma":0.001499995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002731102,"about_ca_topic_score_gemma":0.0006051547,"domain_scores_codex":[0.9966065,0.0002903962,0.00110584,0.0006862537,0.0001706018,0.001140369],"domain_scores_gemma":[0.9953982,0.0006702505,0.0006298879,0.0004668397,0.0006008609,0.002234012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008583197,0.0002382934,0.6637909,0.02392475,0.00002755034,9.267978e-7,0.03212528,0.000006534614,0.00001356035,0.003071651,0.01162187,0.2643204],"study_design_scores_gemma":[0.004381372,0.001460364,0.9118412,0.0004721111,0.00004822459,0.00001599587,0.003604904,0.001352818,0.000004735281,0.0006982126,0.07578865,0.0003314579],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98327,0.004357364,0.002591603,0.0008985527,0.0002991573,0.007932706,0.0004896183,0.00009790812,0.00006303904],"genre_scores_gemma":[0.9720001,0.0042586,0.001933294,0.002127244,0.0002595066,0.01907877,0.0001599078,0.00004945365,0.0001330692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2639889,"threshold_uncertainty_score":0.9999806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1138719919196274,"score_gpt":0.4486979347819759,"score_spread":0.3348259428623486,"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."}}