{"id":"W4292493928","doi":"10.1049/syb2.12048","title":"CHAC1 as a novel biomarker for distinguishing alopecia from other dermatological diseases and determining its severity","year":2022,"lang":"en","type":"article","venue":"IET Systems Biology","topic":"Hair Growth and Disorders","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Calgary","funders":"","keywords":"Biomarker; Medicine; Dermatology; Computational biology; Biology; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000156028,0.0001527007,0.0004165315,0.00005944374,0.0002292918,0.00002083078,0.00009398134,0.000106713,0.00009090098],"category_scores_gemma":[0.0006082668,0.0001241479,0.00007467116,0.00008101371,0.00007441033,0.00003016013,0.0001217142,0.0001067928,0.000007417909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003340303,"about_ca_system_score_gemma":0.00006164712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003422283,"about_ca_topic_score_gemma":0.00002239125,"domain_scores_codex":[0.9988497,0.0001143408,0.0002706003,0.0003752412,0.00008726311,0.0003028942],"domain_scores_gemma":[0.9992148,0.0003427149,0.00009556539,0.0001510119,0.00003848385,0.0001574145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005680957,0.0001935364,0.9865673,0.0002310908,0.0001586788,0.00006893587,0.0005750316,0.000002196958,0.00682473,0.001205081,0.001400433,0.002204901],"study_design_scores_gemma":[0.01079925,0.001186684,0.5079938,0.000234684,0.0003691032,0.001504644,0.005351825,0.01711483,0.00017174,0.001013262,0.4532698,0.0009903295],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926891,0.002501989,0.001153894,0.0004146353,0.0006364597,0.0007088264,0.0007507287,0.00009543428,0.001048959],"genre_scores_gemma":[0.9979648,0.00000519177,0.0001442469,0.001063801,0.0002010683,0.0003233647,0.0001655239,0.0000200397,0.0001119775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4785734,"threshold_uncertainty_score":0.5062605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04651910540445012,"score_gpt":0.3106557001882834,"score_spread":0.2641365947838332,"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."}}