{"id":"W4323793435","doi":"10.2196/38706","title":"A Health App for Evidence-Based Postpartum Information: Development and Validation Study","year":2023,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Health Education and Validation","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Usability; Likert scale; System usability scale; Content validity; Postpartum period; Childbirth; Scale (ratio); Medicine; Population; mHealth; Psychology; Nursing; Applied psychology; Web usability; Clinical psychology; Computer science; Pregnancy; Psychometrics; Developmental psychology; Human–computer interaction","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":[0.03915923,0.0007719219,0.0006988652,0.001585533,0.0009199748,0.001278571,0.001192981,0.001378283,0.0015309],"category_scores_gemma":[0.05829043,0.0005970309,0.001327333,0.0007917944,0.001013898,0.001233613,0.001684751,0.00103492,0.0005605734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009057231,"about_ca_system_score_gemma":0.006986989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001352055,"about_ca_topic_score_gemma":0.002558089,"domain_scores_codex":[0.9844786,0.008778709,0.001922719,0.0007238326,0.003533657,0.0005625139],"domain_scores_gemma":[0.9578091,0.02493748,0.002644504,0.002372051,0.01115181,0.001084983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006926897,0.05973871,0.2176076,0.01381976,0.001115902,0.003396182,0.04921545,0.002179708,0.0250739,0.001939559,0.009164162,0.6098222],"study_design_scores_gemma":[0.01185717,0.15172,0.6210895,0.01743218,0.004387212,0.008617325,0.02774226,0.01521163,0.04565988,0.001397394,0.09430961,0.0005758055],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9418481,0.0007615096,0.01187666,0.0003246001,0.0000896668,0.04114157,0.0006740163,0.0001306385,0.00315315],"genre_scores_gemma":[0.7931632,0.002649429,0.1329711,0.0008880392,0.00007990836,0.06510726,0.002233913,0.00009653535,0.002810674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03915923,"threshold_uncertainty_score":0.2070963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2603471076831774,"score_gpt":0.4811276472856967,"score_spread":0.2207805396025193,"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."}}