{"id":"W4402104217","doi":"10.1016/j.jaad.2024.07.1250","title":"54244 Skin Tone Depiction in Google Image Search Results for Vitiligo","year":2024,"lang":"en","type":"article","venue":"Journal of the American Academy of Dermatology","topic":"melanin and skin pigmentation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Vitiligo; Medicine; Depiction; Tone (literature); Dermatology; Artificial intelligence; Visual arts; Literature; Computer science","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":[0.0001167076,0.0009488766,0.0004549788,0.006963436,0.0005434805,0.00133952,0.0002572651,0.0007649186,0.04958152],"category_scores_gemma":[0.001466054,0.000105022,0.0006721757,0.00374876,0.0002106445,0.001116194,0.001025719,0.0003239253,0.01324867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004601195,"about_ca_system_score_gemma":0.000350655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01941345,"about_ca_topic_score_gemma":0.04005309,"domain_scores_codex":[0.9997748,0.00002167088,0.00003097494,0.00002584514,0.0000880369,0.00005870766],"domain_scores_gemma":[0.9992961,0.0002939823,0.0001266797,0.00002786031,0.0001451405,0.0001103168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0010781,0.000139291,0.06925476,0.009303257,0.0002701239,0.005639364,0.001736829,0.0007484075,0.006423794,0.001693163,0.8225026,0.08121032],"study_design_scores_gemma":[0.00010799,0.0002839909,0.2823751,0.00364866,0.0005717013,0.0131611,0.005353677,0.00366279,0.005534901,0.001422293,0.6837292,0.0001485977],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2634465,0.0247323,0.001149127,0.004550058,0.002005959,0.0003105195,0.5963497,0.005572065,0.1018839],"genre_scores_gemma":[0.6031078,0.0142972,0.004160675,0.001936972,0.001171705,0.000164778,0.3214473,0.001212416,0.05250105],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04958152,"threshold_uncertainty_score":0.1658667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01410549020019311,"score_gpt":0.3555622791337517,"score_spread":0.3414567889335586,"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."}}