{"id":"W7133205542","doi":"10.2310/6620.2011.00011jj","title":"Teledermatology in Occupational Skin Health Surveillance—Diagnostic Accuracy and Reliability","year":2011,"lang":"en","type":"article","venue":"Dermatitis","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Teledermatology; Reliability (semiconductor); Occupational safety and health; Occupational exposure; MEDLINE","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":[0.02585657,0.000642293,0.0007065877,0.003299076,0.0004803251,0.001764547,0.001366033,0.001617952,0.001041288],"category_scores_gemma":[0.09646635,0.0006413859,0.0009198174,0.001227008,0.001024492,0.002429505,0.001105099,0.0009933264,0.0007594762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005345909,"about_ca_system_score_gemma":0.0003741333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001418336,"about_ca_topic_score_gemma":0.001699694,"domain_scores_codex":[0.9807241,0.01110128,0.002375848,0.001721395,0.003693261,0.0003841398],"domain_scores_gemma":[0.8585525,0.1045231,0.01285351,0.008742876,0.01418455,0.00114353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003607873,0.00005813365,0.9877973,0.0000522521,0.0001212083,0.00008870869,0.0002238416,0.0003319867,0.0004291499,0.0000546509,0.0001366405,0.01034537],"study_design_scores_gemma":[0.00005543564,0.001048879,0.9672133,0.0001248707,0.0005796801,0.002967955,0.0007079256,0.02146721,0.003932721,0.0005070774,0.001363279,0.00003153177],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868526,0.003725127,0.005620238,0.0002179511,0.0001431675,0.00007241494,0.0002839327,0.00006321169,0.003021415],"genre_scores_gemma":[0.9977228,0.0003249377,0.001512684,0.00005016194,0.00008950703,0.00001605206,0.00009395494,0.000006597352,0.0001832871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02585657,"threshold_uncertainty_score":0.1367443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01992242783684645,"score_gpt":0.2765919009084181,"score_spread":0.2566694730715716,"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."}}