{"id":"W2746127283","doi":"10.1111/pcmr.12624","title":"Melanin quantification by in vitro and in vivo analysis of near‐infrared fluorescence","year":2017,"lang":"en","type":"article","venue":"Pigment Cell & Melanoma Research","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; Vancouver Coastal Health Research Institute; University of British Columbia; Vancouver Coastal Health","funders":"National Cancer Institute; Canadian Cancer Society; Canadian Dermatology Foundation","keywords":"Melanin; In vivo; Fluorescence; Human skin; Sepia; Chemistry; In vitro; Diffuse reflectance infrared fourier transform; Near-infrared spectroscopy; Fluorescence spectroscopy; Biophysics; Melanoma; Biology; Biochemistry; Optics","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":[0.001267843,0.0001050302,0.0002278063,0.0002464372,0.0001157845,0.0000751944,0.0006126057,0.0001834774,0.0001313171],"category_scores_gemma":[0.0003423976,0.00009617602,0.00005338623,0.0003730039,0.0006054027,0.000007299723,0.0004189642,0.000279559,0.000003251083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005415004,"about_ca_system_score_gemma":0.0000689366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005485342,"about_ca_topic_score_gemma":0.00005938463,"domain_scores_codex":[0.9981426,0.0001441608,0.0002814359,0.0004599724,0.0005466352,0.0004252039],"domain_scores_gemma":[0.9989593,0.0000700078,0.00007475285,0.0006799863,0.00009111906,0.0001248416],"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":[0.0003202617,0.0001991779,0.02730284,0.0000313536,0.00002899194,0.000005284891,0.00003125293,5.469139e-7,0.9678318,0.00001532597,0.0030731,0.001160074],"study_design_scores_gemma":[0.0003773778,0.000137303,0.01289082,0.00001499881,0.00001002896,2.875761e-7,0.00003775954,0.001364596,0.9800674,0.0001017794,0.004905751,0.00009189921],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993612,0.0006511439,0.000107278,0.0002818164,0.00001629505,0.0002430397,0.00003533769,0.00000401036,0.005049098],"genre_scores_gemma":[0.9955893,0.0009707556,0.0008951764,0.00001053487,0.00001499062,0.00006899159,0.00009842297,0.000009821088,0.002342013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01441202,"threshold_uncertainty_score":0.3921944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02660213529523763,"score_gpt":0.3669514209559923,"score_spread":0.3403492856607547,"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."}}