{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001697575,0.00007748693,0.0001107974,0.0002431076,0.00131635,0.0001822927,0.00009039883,0.00004359869,0.00005841807],"category_scores_gemma":[0.0003019652,0.00007543254,0.0000196814,0.000404233,0.00003280194,0.0007160624,0.00001301885,0.0000506684,0.00005647078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002314552,"about_ca_system_score_gemma":0.0009702272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000473832,"about_ca_topic_score_gemma":0.000495631,"domain_scores_codex":[0.9987663,0.00017814,0.0003266349,0.0001285363,0.000350111,0.0002502564],"domain_scores_gemma":[0.99919,0.0002331171,0.0001637167,0.00009130738,0.0001438553,0.0001779663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00002523551,0.0002319339,0.30039,0.0003436839,0.00001560373,1.184438e-7,0.6373783,0.0000142114,0.00000858482,0.005641373,0.01967238,0.03627858],"study_design_scores_gemma":[0.0003972089,0.0001964542,0.7343474,0.00006827377,0.0000032855,2.460012e-8,0.04758455,0.00002373891,0.00009497369,0.00008467292,0.2170579,0.000141468],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894945,0.000007322373,0.0001707214,0.007531413,0.0002666743,0.002178702,0.000004791037,0.0002086234,0.000137243],"genre_scores_gemma":[0.9983782,0.00000664365,0.0001023904,0.0004512524,0.00007920008,0.0004257297,0.0001923102,0.000005401908,0.000358912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5897937,"threshold_uncertainty_score":0.9999838,"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."}}