{"id":"W3155354651","doi":"10.2196/21555","title":"Patient Factors Associated with Interest in Teledermatology: Cross-sectional Survey","year":2021,"lang":"en","type":"article","venue":"JMIR Dermatology","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institutes of Health; Dermatology Foundation; U.S. Department of Veterans Affairs","keywords":"Teledermatology; Cross-sectional study; Medicine; Health care; Logistic regression; Health Information National Trends Survey; Family medicine; Telemedicine; Patient portal; Health information; Pathology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006725736,0.0001670037,0.000389543,0.0002043928,0.00006667859,0.00002947032,0.00005213185,0.0002083256,0.0004250841],"category_scores_gemma":[0.0002449661,0.0001427624,0.00006305956,0.000359531,0.0001095828,0.00004512428,0.0000718893,0.0003079191,0.00004847966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001489956,"about_ca_system_score_gemma":0.0001173604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003925947,"about_ca_topic_score_gemma":0.003629183,"domain_scores_codex":[0.9985961,0.0002327441,0.0003827967,0.0003419962,0.0001303477,0.0003160365],"domain_scores_gemma":[0.9991886,0.0001963329,0.0001122567,0.0002201716,0.0001821513,0.0001005085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001620937,0.0003718491,0.9948283,0.00003109149,0.0001114929,0.003084286,0.0001305331,0.000005618895,0.0002075054,0.000129882,0.0008163709,0.0001209805],"study_design_scores_gemma":[0.001495344,0.0001164513,0.9866238,0.00002819923,0.000009515948,0.005599635,0.0001637367,0.00007480561,0.002216996,0.00002425608,0.003506623,0.0001406545],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971363,0.00004306865,0.00003646797,0.0003169164,0.0003576608,0.0003119533,0.00001544746,0.00009784834,0.001684329],"genre_scores_gemma":[0.9984257,0.000004375372,0.00001657461,0.0006799778,0.00001069094,0.00005080262,0.0002900024,0.00002083825,0.0005010717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008204512,"threshold_uncertainty_score":0.5821683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05790487685857569,"score_gpt":0.3081279516535144,"score_spread":0.2502230747949387,"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."}}