{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004509924,0.0001160612,0.000258261,0.0004523128,0.0001911164,0.00003398975,0.0001968914,0.0001663193,0.00004889147],"category_scores_gemma":[0.0006931499,0.00009149866,0.00001309376,0.000236919,0.0005345398,0.00004309767,0.0008030715,0.0003386687,0.00002813654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001409131,"about_ca_system_score_gemma":0.00006135945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003978197,"about_ca_topic_score_gemma":0.0002918712,"domain_scores_codex":[0.9987929,0.00004505851,0.0001882791,0.0003741753,0.0002538575,0.0003457323],"domain_scores_gemma":[0.9986978,0.0002134127,0.00004450137,0.0005237142,0.0003094685,0.0002111429],"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":[0.004772418,0.002482999,0.02750858,0.001465871,0.001120531,0.0004480127,0.001586339,4.817506e-7,0.005820239,0.09788763,0.1108624,0.7460445],"study_design_scores_gemma":[0.01978613,0.01452059,0.03257435,0.0005796312,0.000480939,0.008097848,0.01741907,0.02944642,0.02691573,0.0941598,0.7546105,0.00140902],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724824,0.0003700284,0.01395887,0.01058524,0.0001198571,0.001246798,0.0001667351,0.0001336726,0.000936445],"genre_scores_gemma":[0.9972311,0.0001711971,0.0004864676,0.00006750669,0.00006358844,0.0001224508,0.0001652047,0.00001536694,0.001677063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7446355,"threshold_uncertainty_score":0.3731207,"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."}}