{"id":"W4205998990","doi":"10.2196/29039","title":"A Veteran-Centric Web-Based Decision Aid for Lung Cancer Screening: Usability Analysis","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; System usability scale; Context (archaeology); Fidelity; Medicine; Computer science; Web usability; 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":[0.02839852,0.0005911326,0.0005880542,0.002002428,0.0007941758,0.001764503,0.0007420272,0.0005577012,0.001764284],"category_scores_gemma":[0.05106483,0.0003434457,0.0009784726,0.001637809,0.0005362889,0.001362331,0.001473196,0.0005087769,0.0002428401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001455273,"about_ca_system_score_gemma":0.002491094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002109467,"about_ca_topic_score_gemma":0.003727711,"domain_scores_codex":[0.9863225,0.009918957,0.001323302,0.0004592364,0.001642438,0.0003334287],"domain_scores_gemma":[0.9547009,0.03513054,0.0014367,0.001380594,0.006666179,0.0006851293],"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":[0.003654187,0.007218126,0.2565036,0.005797577,0.0007238354,0.0007878834,0.04427683,0.004846143,0.01563712,0.0008764213,0.003956288,0.655722],"study_design_scores_gemma":[0.002161944,0.03679286,0.7834209,0.003044321,0.001899543,0.002373579,0.05718306,0.05478971,0.03182041,0.002282689,0.02363278,0.0005983174],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866589,0.0002173611,0.008840684,0.0001840082,0.00001317465,0.002497254,0.000262047,0.0001361338,0.001190348],"genre_scores_gemma":[0.9317002,0.000291808,0.06357148,0.0001457662,0.00001663362,0.003142948,0.000463559,0.00005293318,0.00061462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02839852,"threshold_uncertainty_score":0.1501876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3555338121061334,"score_gpt":0.582753492990202,"score_spread":0.2272196808840686,"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."}}