{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0557979,0.001361904,0.001291411,0.002930777,0.003440125,0.00392769,0.00191393,0.001710094,0.002368757],"category_scores_gemma":[0.1028319,0.0007350035,0.00100434,0.002432707,0.004653791,0.003130976,0.004997656,0.001843843,0.0003271336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006122781,"about_ca_system_score_gemma":0.007254675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003081821,"about_ca_topic_score_gemma":0.004115228,"domain_scores_codex":[0.9391424,0.05153229,0.002230193,0.001782546,0.003420602,0.001891832],"domain_scores_gemma":[0.7964271,0.1843472,0.003679544,0.00236652,0.01139056,0.00178907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003426723,0.0002849519,0.005233794,0.004807047,0.00005448198,0.0007958377,0.9210973,0.0005332322,0.00342692,0.001336521,0.00152975,0.06055739],"study_design_scores_gemma":[0.0002194504,0.001362945,0.01345028,0.007598931,0.0001734794,0.000658317,0.9203518,0.00201851,0.007783602,0.002308771,0.04392469,0.0001492031],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.931882,0.002570785,0.04415366,0.002759465,0.0001773398,0.007473784,0.001372939,0.0002418492,0.009368229],"genre_scores_gemma":[0.9351585,0.002582386,0.04855277,0.001481495,0.0000475667,0.008509356,0.0005239036,0.0002124281,0.002931555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0557979,"threshold_uncertainty_score":0.295091,"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."}}