{"id":"W4225647027","doi":"10.2196/34852","title":"Access to and Use of Mobile Phone by Postpartum, Married Women in Punjab, India: Secondary Analysis of mHealth Intervention Pilot Data","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"mHealth; Mobile phone; Psychological intervention; Intervention (counseling); Medicine; Postnatal Care; Moderation; Mobile technology; Health care; Nursing; Family medicine; Psychology; Mobile device; Pregnancy; Social psychology; Computer science; Telecommunications; Political science; World Wide Web","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":[0.001770156,0.0003465542,0.0004672084,0.002247942,0.001653124,0.0009576488,0.0007502789,0.0004773003,0.002656478],"category_scores_gemma":[0.00535676,0.0006295413,0.00058386,0.003226679,0.0009020508,0.0006470538,0.00174548,0.0009609098,0.0007382815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001451017,"about_ca_system_score_gemma":0.003038894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04322962,"about_ca_topic_score_gemma":0.05908281,"domain_scores_codex":[0.9987017,0.0004377902,0.0001662314,0.0001644969,0.0002194043,0.0003103427],"domain_scores_gemma":[0.9967396,0.001368898,0.0006202707,0.0002488195,0.0007101165,0.0003123459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004018835,0.001320201,0.8733276,0.00118057,0.00009112782,0.001479912,0.08673266,0.0001348792,0.003064124,0.0001868681,0.001428864,0.03065122],"study_design_scores_gemma":[0.00002378177,0.0008513135,0.948374,0.0001294278,0.00004500127,0.0002729255,0.04881625,0.00009029274,0.0003534723,0.00003109934,0.0009951867,0.00001716703],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965334,0.00006575842,0.0001875577,0.00006847727,0.000003604589,0.0006147727,0.001747941,0.000008340473,0.0007701306],"genre_scores_gemma":[0.9915845,0.0003179889,0.001100049,0.000325804,0.000009133043,0.002996625,0.002500791,0.000008668359,0.001156415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04322962,"threshold_uncertainty_score":0.08595598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1928922147465674,"score_gpt":0.5497816758945849,"score_spread":0.3568894611480176,"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."}}