{"id":"W4288058499","doi":"10.2196/35381","title":"User Experience of a Computer-Based Decision Aid for Prenatal Trisomy Screening: Mixed Methods Explanatory Study","year":2022,"lang":"en","type":"article","venue":"JMIR Pediatrics and Parenting","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital; Université Laval; McGill University; Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale","funders":"","keywords":"Usability; Thematic analysis; Family medicine; Medicine; Prenatal care; Qualitative research; Psychology; Medical education; Nursing; Population; Computer science; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02681825,0.0006862577,0.000811156,0.001849551,0.00248611,0.003347976,0.001265037,0.001263026,0.002672151],"category_scores_gemma":[0.04630142,0.0008496184,0.0009528029,0.001357674,0.001600245,0.002947221,0.00260234,0.001103893,0.0003285786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00196152,"about_ca_system_score_gemma":0.002130125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002242431,"about_ca_topic_score_gemma":0.003405644,"domain_scores_codex":[0.9798883,0.01602337,0.001243311,0.0007750791,0.001186358,0.0008836259],"domain_scores_gemma":[0.9428453,0.04936439,0.003057697,0.001213574,0.002743433,0.0007755511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006124048,0.002956426,0.1575254,0.001035848,0.0001427264,0.0009872781,0.7948956,0.0001781658,0.0009493945,0.0005528711,0.0004226309,0.03974112],"study_design_scores_gemma":[0.000334456,0.008809539,0.08516435,0.001150738,0.0002435347,0.001275752,0.891009,0.002988712,0.001908684,0.0007267263,0.006236695,0.0001518646],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997929,0.0001268866,0.0008446472,0.0001208197,0.000006450813,0.0004310956,0.00006779863,0.000006812955,0.0004665771],"genre_scores_gemma":[0.9935985,0.0003279323,0.003524811,0.0002908172,0.00001387817,0.00154741,0.00008863529,0.00001387862,0.0005942594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02681825,"threshold_uncertainty_score":0.1418302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2098079673792951,"score_gpt":0.4809958612556588,"score_spread":0.2711878938763637,"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."}}