{"id":"W3208734747","doi":"10.2196/27628","title":"User Interactions With Health Insurance Decision Aids: User Study With Retrospective Think-Aloud Interviews","year":2021,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Decision aids; Usability; Health literacy; Psychology; Applied psychology; Think aloud protocol; Computer science; Knowledge management; Medical education; Actuarial science; Health care; Business; Medicine; Human–computer interaction; Political science","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":[0.006846222,0.0009907075,0.0006224817,0.001322286,0.002220268,0.001837249,0.0007960078,0.001252392,0.001755978],"category_scores_gemma":[0.02081738,0.0008176261,0.0004764575,0.0006601209,0.001562813,0.00182347,0.001793522,0.001066616,0.0005593563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009552016,"about_ca_system_score_gemma":0.0007083815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002687391,"about_ca_topic_score_gemma":0.004088986,"domain_scores_codex":[0.9966062,0.002248385,0.0001825496,0.0003622205,0.0003181988,0.0002824567],"domain_scores_gemma":[0.9718132,0.02284242,0.001453384,0.0009112181,0.00207801,0.0009018853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004174189,0.0009367866,0.06745695,0.0002461402,0.00002519839,0.0009648248,0.9024529,0.000143614,0.01014839,0.0001238888,0.0002979803,0.01678595],"study_design_scores_gemma":[0.0001228797,0.004897071,0.1251552,0.0002447174,0.0001086215,0.002375926,0.8404954,0.004566156,0.01391359,0.0003252251,0.007565482,0.000229678],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986941,0.00002440787,0.0007952231,0.0000286281,0.000002349552,0.00008607596,0.00004368037,0.00001762527,0.0003079317],"genre_scores_gemma":[0.9958835,0.00007651317,0.002780846,0.00009603438,0.000006012541,0.0002430422,0.00008002597,0.00001909663,0.0008148326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006846222,"threshold_uncertainty_score":0.03620672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05494240736463427,"score_gpt":0.4226623547845315,"score_spread":0.3677199474198972,"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."}}