{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002058522,0.000186132,0.0003510079,0.0008069786,0.0004366292,0.0006624957,0.0004383539,0.0009063217,0.002820115],"category_scores_gemma":[0.008004732,0.000394909,0.0006162974,0.001618491,0.0002340753,0.0009478899,0.0005857219,0.001228708,0.0005366036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004204033,"about_ca_system_score_gemma":0.0005119594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005431681,"about_ca_topic_score_gemma":0.005215057,"domain_scores_codex":[0.9981856,0.0006815929,0.000287281,0.0002860205,0.0003598389,0.0001997442],"domain_scores_gemma":[0.9939068,0.001602721,0.002935988,0.0003392941,0.0006776794,0.0005374915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002248828,0.0000793804,0.9990786,0.0000124182,0.00002716697,0.00001500014,0.00005909327,0.00002659329,0.00002463555,0.000008183778,0.0002385056,0.0004078172],"study_design_scores_gemma":[0.000005841942,0.00009319461,0.9989594,0.00001096811,0.00001890574,0.0001062786,0.000300076,0.0002101547,0.00002177829,0.00001077111,0.0002579264,0.000004549952],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952761,0.0001984737,0.00018647,0.000240861,0.00001067411,0.00008602165,0.003290917,0.000008516972,0.0007019373],"genre_scores_gemma":[0.9979746,0.0001329996,0.0001985057,0.0001834985,0.00001322409,0.00009982542,0.001238424,0.000002980597,0.000155964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005431681,"threshold_uncertainty_score":0.01088661,"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."}}