{"id":"W4403387419","doi":"10.2196/63334","title":"Optimization of a Web-Based Self-Assessment Tool for Preconception Health in People of Reproductive Age in Australia: User Feedback and User-Experience Testing Study","year":2024,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Reproductive health; User experience design; Psychology; Computer science; Medicine; Human–computer interaction; World Wide Web; Environmental health","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":[0.01892367,0.0005870784,0.0008226528,0.001053285,0.0006638049,0.001253549,0.0008121677,0.000727541,0.001315658],"category_scores_gemma":[0.04608842,0.0004194829,0.0007530334,0.000547952,0.0005657535,0.001308239,0.001353794,0.0006409016,0.0003643387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007713417,"about_ca_system_score_gemma":0.0009776172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002028008,"about_ca_topic_score_gemma":0.003687609,"domain_scores_codex":[0.9934684,0.004578674,0.00049343,0.0003860135,0.000809681,0.0002638246],"domain_scores_gemma":[0.960016,0.02963614,0.001240222,0.001571146,0.006419323,0.001117154],"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":[0.00321677,0.0133675,0.216922,0.004307054,0.0003972804,0.002213822,0.1957487,0.001841251,0.0163283,0.0003450552,0.005766474,0.5395458],"study_design_scores_gemma":[0.001595675,0.05547649,0.7651559,0.002601738,0.001006225,0.003041444,0.08602203,0.03165647,0.01517791,0.000732336,0.03697253,0.0005612047],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947321,0.0001026017,0.002465823,0.0001507888,0.00001630684,0.001450658,0.0001325861,0.0001391755,0.0008099363],"genre_scores_gemma":[0.966615,0.0002847456,0.02941983,0.0002588399,0.0000186444,0.001875876,0.0002814267,0.00005315973,0.001192475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01892367,"threshold_uncertainty_score":0.1000791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1002859302286306,"score_gpt":0.491400396195037,"score_spread":0.3911144659664064,"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."}}