{"id":"W2295887423","doi":"10.1109/embc.2015.7320010","title":"Effective compression and reconstruction of human skin hyperspectral reflectance databases","year":2015,"lang":"en","type":"article","venue":"","topic":"melanin and skin pigmentation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Hyperspectral imaging; Vitiligo; Principal component analysis; Human skin; Reflectivity; Computer science; Artificial intelligence; Ultraviolet; Materials science; Dimensionality reduction; Computer vision; Biomedical engineering; Pattern recognition (psychology); Optoelectronics; Optics; Dermatology; Medicine; Physics; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006745819,0.0006030937,0.000451065,0.000860799,0.0002197306,0.000694839,0.0005231799,0.0005044652,0.001229699],"category_scores_gemma":[0.002424446,0.0002534433,0.0005052523,0.0009168058,0.000322175,0.000824272,0.0005916737,0.0006817479,0.0006635961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001743838,"about_ca_system_score_gemma":0.0003474153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001128052,"about_ca_topic_score_gemma":0.001324786,"domain_scores_codex":[0.9996044,0.00009232898,0.00002475449,0.00007123983,0.000164214,0.00004303338],"domain_scores_gemma":[0.9990981,0.0003988559,0.0000768489,0.0002313885,0.0001748237,0.00002003493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006896371,0.0002097545,0.001901367,0.0002752212,0.00008501255,0.0003913245,0.0002544346,0.1341759,0.1523422,0.004579373,0.003045091,0.7020507],"study_design_scores_gemma":[0.00001667731,0.0001028615,0.004322672,0.00002706055,0.00003800836,0.0005808568,0.0001490938,0.8891484,0.09785331,0.004242732,0.003485814,0.00003258232],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08745931,0.0004816685,0.9093667,0.0002818907,0.00005630211,0.00005125251,0.0003976965,0.0006460529,0.001259032],"genre_scores_gemma":[0.4693186,0.001150361,0.5246774,0.0001231617,0.00008701069,0.00008882859,0.001583434,0.0001671812,0.002804046],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001229699,"threshold_uncertainty_score":0.004113793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02746482795171401,"score_gpt":0.3218346402366865,"score_spread":0.2943698122849724,"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."}}