{"id":"W2588649152","doi":"10.2196/mededu.7042","title":"Virtual Patient Technology: Engaging Primary Care in Quality Improvement Innovations","year":2017,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Research Resources","keywords":"Primary care; Quality (philosophy); Quality management; Primary (astronomy); Business; Knowledge management; Psychology; Computer science; Medicine; Marketing; Family medicine","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":[0.009052068,0.0005759628,0.000230764,0.0005154818,0.00124935,0.002529488,0.001005598,0.001219297,0.005672481],"category_scores_gemma":[0.01726729,0.0002922807,0.0005767192,0.0002798543,0.00181239,0.001636153,0.004753437,0.0009780602,0.0005343889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006295831,"about_ca_system_score_gemma":0.001210668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003120813,"about_ca_topic_score_gemma":0.000623162,"domain_scores_codex":[0.9849615,0.01344398,0.0001982647,0.0003490967,0.0006474573,0.0003995961],"domain_scores_gemma":[0.9844239,0.01194528,0.001006126,0.0009225744,0.0003226687,0.001379283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001230591,0.004157634,0.07112373,0.00358246,0.0002713243,0.002299185,0.1421879,0.00477687,0.02306978,0.01356041,0.02588961,0.7078506],"study_design_scores_gemma":[0.003350195,0.03764594,0.108747,0.003981821,0.0009849262,0.01415569,0.1273479,0.03849197,0.02149518,0.04535179,0.5978677,0.0005799378],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.805205,0.001533638,0.1363221,0.01018257,0.0005558306,0.001651955,0.0002131818,0.001032418,0.04330317],"genre_scores_gemma":[0.9223657,0.0005991759,0.07176378,0.001705604,0.0001845378,0.0009790157,0.00007496733,0.00005448495,0.002272792],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.009052068,"threshold_uncertainty_score":0.04787248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02412369418701682,"score_gpt":0.419211411320382,"score_spread":0.3950877171333652,"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."}}