{"id":"W3161441574","doi":"10.1016/j.midw.2021.103041","title":"A survey exploring women's use of mobile apps in labour in the United Kingdom","year":2021,"lang":"en","type":"article","venue":"Midwifery","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Wellbeing of Women; King's University College","keywords":"Thematic analysis; Demographics; Ethnic group; Medicine; Mobile apps; Social media; Smartphone app; Family medicine; Psychology; Qualitative research; Demography; Internet privacy; Political science; Sociology; World Wide Web","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003055796,0.0001307005,0.0003487369,0.0003133657,0.0002395727,0.000008524619,0.0002112924,0.0001540833,0.0003407066],"category_scores_gemma":[0.001078216,0.0001092349,0.00003041165,0.002231596,0.00003912976,0.0001311234,0.00009823657,0.0008332797,0.00006312221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002377011,"about_ca_system_score_gemma":0.0008764126,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008504421,"about_ca_topic_score_gemma":0.009447934,"domain_scores_codex":[0.9955004,0.002258288,0.0009537251,0.0002924655,0.0002237975,0.0007712616],"domain_scores_gemma":[0.9955106,0.003277954,0.0002036374,0.0006272509,0.0002132987,0.0001672973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001367453,0.0005127066,0.9698963,0.001076903,0.000007339551,0.00002859961,0.01150273,0.0003398041,0.0001357623,0.008682499,0.001864539,0.005816071],"study_design_scores_gemma":[0.0007828823,0.00003176865,0.6881757,0.0002349794,0.000001854842,8.591871e-7,0.005807343,0.0001019979,0.00001924225,0.0002313774,0.3045186,0.00009344745],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968648,0.0002111222,0.00004702086,0.0006687656,0.0002600787,0.001651202,0.00008663094,0.0000310644,0.0001793394],"genre_scores_gemma":[0.9654451,0.0005478016,0.0001396369,0.004425651,0.00008246779,0.02883634,0.0001345906,0.00002262148,0.0003657927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.302654,"threshold_uncertainty_score":0.998098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3303179891106647,"score_gpt":0.4440392236251171,"score_spread":0.1137212345144523,"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."}}