{"id":"W1909613638","doi":"","title":"Can you identify this condition? Melasma.","year":2005,"lang":"en","type":"article","venue":"PubMed","topic":"Dermatologic Treatments and Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Melasma; Computer science; Data science; Dermatology; Medicine; Bioinformatics; 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":[0.0003376855,0.0003870027,0.0006736423,0.002321331,0.0007715906,0.001263068,0.0003835961,0.002259682,0.04729659],"category_scores_gemma":[0.004064235,0.0001402173,0.0004029125,0.001142505,0.0004280397,0.002439765,0.0006650824,0.001718426,0.02040871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003138641,"about_ca_system_score_gemma":0.0005036252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001925563,"about_ca_topic_score_gemma":0.002770908,"domain_scores_codex":[0.9997084,0.00004989261,0.00003743432,0.00001963547,0.0001161987,0.00006850826],"domain_scores_gemma":[0.9992784,0.0001925753,0.000152489,0.00003928635,0.0002065805,0.0001307937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"case_report","study_design_scores_codex":[0.0005233802,0.0001548993,0.01628071,0.00166529,0.00006473462,0.04750158,0.0005089252,0.00003570678,0.004371523,0.003423173,0.4506439,0.4748261],"study_design_scores_gemma":[0.0001137004,0.0002136019,0.0220388,0.003741086,0.0001218312,0.3652203,0.001942802,0.0001502707,0.002469914,0.004472993,0.599435,0.00007958933],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04880673,0.3143172,0.006747894,0.1782134,0.02836264,0.0004724,0.002938584,0.001388589,0.4187526],"genre_scores_gemma":[0.4372526,0.2052969,0.007619895,0.09736354,0.0257993,0.0002552193,0.002245597,0.0003910298,0.2237758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04729659,"threshold_uncertainty_score":0.1582229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03537126161448825,"score_gpt":0.3207178240076873,"score_spread":0.2853465623931991,"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."}}