{"id":"W3192937187","doi":"10.2196/25568","title":"Optimizing e-Consultations to Adolescent Medicine Specialists: Qualitative Synthesis of Feedback From User-Centered Design","year":2021,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Center for Advancing Translational Sciences; National Institute of Child Health and Human Development; National Institutes of Health","keywords":"Specialty; Usability; Adolescent medicine; Medicine; Family medicine; MEDLINE; Medical education; Primary care; Cognitive reframing; Psychology; Nursing; Computer 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003199052,0.0002175897,0.0005118485,0.0003826535,0.0001941741,0.00007102051,0.0002586571,0.0001297148,0.0007691461],"category_scores_gemma":[0.0008616969,0.0001943448,0.00008305776,0.0006590946,0.00009885904,0.0002638202,0.0001285298,0.0001551998,0.00009286161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000097323,"about_ca_system_score_gemma":0.0000446519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004623068,"about_ca_topic_score_gemma":0.001479803,"domain_scores_codex":[0.9982575,0.000106249,0.0006468336,0.00038698,0.0003071993,0.0002953045],"domain_scores_gemma":[0.9984517,0.0003251808,0.0003555232,0.0003574781,0.0004708785,0.00003926483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0005205292,0.003262818,0.1152328,0.004974147,0.00171461,0.0003426213,0.1557074,0.0002767923,0.1615669,0.3246634,0.1937934,0.03794449],"study_design_scores_gemma":[0.004548324,0.000212449,0.3665687,0.006469364,0.000387141,0.000002969128,0.2998105,0.0001362754,0.02843373,0.00922581,0.2820473,0.002157418],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989558,0.0000868402,0.003488722,0.003094526,0.000465619,0.0007086142,0.00005500342,0.0001813007,0.002361348],"genre_scores_gemma":[0.9975305,0.000003762539,0.001090482,0.0004934157,0.000542015,0.00006081409,0.0000811002,0.00003343964,0.0001644521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3154376,"threshold_uncertainty_score":0.8421611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1114143658400678,"score_gpt":0.3578863357050481,"score_spread":0.2464719698649803,"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."}}