{"id":"W2102380440","doi":"10.1111/j.1600-0781.2006.00195.x","title":"Spectroscopic assessment of dermal melanin using blue vitiligo as an <i>in vivo</i> model","year":2006,"lang":"en","type":"article","venue":"Photodermatology Photoimmunology & Photomedicine","topic":"melanin and skin pigmentation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; Vancouver General Hospital; University of British Columbia","funders":"National Cancer Institute; Canadian Dermatology Foundation; Dermatology Foundation","keywords":"Vitiligo; Autofluorescence; Melanin; In vivo; Dermatology; Medicine; Pathology; Lesion; Chemistry; Fluorescence; Optics; Biology; Biochemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003361843,0.0003958423,0.0007350733,0.0003366351,0.000107073,0.000009833044,0.0004060761,0.0004774047,0.0002495151],"category_scores_gemma":[0.00002633571,0.0004038607,0.0001109465,0.0002478012,0.0005225851,0.00002135783,0.0001293584,0.0003219474,0.000005372655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008177247,"about_ca_system_score_gemma":0.0003417083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001280249,"about_ca_topic_score_gemma":0.0003074312,"domain_scores_codex":[0.9972441,0.0002652162,0.0008996212,0.0006913931,0.0002516164,0.0006481033],"domain_scores_gemma":[0.9987389,0.00003681485,0.000355047,0.0006731746,0.0001114891,0.00008458074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002252565,0.0004227524,0.02019697,0.00003753505,0.00007215138,0.00008064962,0.0001417459,0.001032134,0.9769988,0.00043908,0.0003304152,0.00002251503],"study_design_scores_gemma":[0.003528704,0.0005350764,0.004252013,0.00004664195,0.00006462323,0.0006960058,0.0003400054,0.03064504,0.9584009,0.000687546,0.0004704296,0.0003330039],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927935,0.0009300954,0.002415908,0.00008733792,0.0003582577,0.0006061452,0.00002687935,0.00003360971,0.002748283],"genre_scores_gemma":[0.9955985,0.0002197664,0.002542056,0.0008834972,0.00007208169,0.0001038604,0.0003473721,0.00005173255,0.0001811643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0296129,"threshold_uncertainty_score":0.9998413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009249004387479505,"score_gpt":0.3003386667876959,"score_spread":0.2910896624002164,"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."}}