{"id":"W1926753930","doi":"10.1111/srt.12256","title":"Skin characteristics: normative data for elasticity, erythema, melanin, and thickness at 16 different anatomical locations","year":2015,"lang":"en","type":"article","venue":"Skin Research and Technology","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre Hospitalier de l’Université de Montréal","funders":"Fondation des pompiers du Québec pour les grands brûlés","keywords":"Medicine; Erythema; Vascularity; Skin thickness; Elasticity (physics); Ultrasound; Melanin; Skin color; Normative; Age groups; Dermatology; Surgery; Radiology; Demography; Biology; Artificial intelligence; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002623378,0.0004777478,0.0003227736,0.001633304,0.0003298887,0.0004619684,0.0006288733,0.0005379707,0.002401434],"category_scores_gemma":[0.006172638,0.0001290907,0.0004064119,0.001131478,0.0003504324,0.0004567115,0.0005545528,0.0003784218,0.001151724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002650255,"about_ca_system_score_gemma":0.0002338795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008549148,"about_ca_topic_score_gemma":0.001355697,"domain_scores_codex":[0.9984883,0.000381048,0.0002943195,0.0001937361,0.0005858638,0.00005669326],"domain_scores_gemma":[0.9952225,0.001204677,0.001068413,0.0006603496,0.001658733,0.0001853128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009242453,0.0005542009,0.8845682,0.0003365233,0.0001840039,0.0004612947,0.0007536039,0.001767492,0.02023709,0.0005019347,0.003053882,0.08665747],"study_design_scores_gemma":[0.00003213584,0.0009782391,0.9794458,0.0001081718,0.00006579858,0.00282818,0.0007154179,0.001264809,0.007800031,0.0003571252,0.006372879,0.00003157602],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9615398,0.0009520023,0.01884141,0.00008150525,0.00006921629,0.000520809,0.00787471,0.0002588493,0.009861703],"genre_scores_gemma":[0.9650671,0.0004164084,0.02237184,0.0001050769,0.00003491363,0.001066337,0.00941598,0.00006917721,0.00145316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002623378,"threshold_uncertainty_score":0.01387393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08349006425560902,"score_gpt":0.3659117922619766,"score_spread":0.2824217280063676,"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."}}