{"id":"W2954224256","doi":"10.1159/000500509","title":"Reliability of Histopathology for the Early Recognition of Fibrosis in Traction Alopecia: Correlation with Clinical Severity","year":2019,"lang":"en","type":"article","venue":"Dermatopathology","topic":"Hair Growth and Disorders","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Medical Research Council; South African Medical Research Council; National Research Foundation; Academy of Medical Sciences","keywords":"Medicine; Histopathology; Scalp; Fibrosis; Scarring alopecia; Grading (engineering); Biopsy; Intraclass correlation; Pathology; Hair loss; Dermatology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006548965,0.00008227056,0.0003851285,0.00008559661,0.00001946834,0.000001199864,0.00004910477,0.0002057029,0.00003288529],"category_scores_gemma":[0.0004005972,0.00005807163,0.00009502759,0.0001436048,0.0001950868,0.00008268702,0.00001156892,0.0002017754,0.00001267483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000250883,"about_ca_system_score_gemma":0.00007967965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005461106,"about_ca_topic_score_gemma":0.00006501255,"domain_scores_codex":[0.9988583,0.0001774602,0.0005280982,0.0002098225,0.000089787,0.0001365502],"domain_scores_gemma":[0.9987714,0.0005356356,0.0002327882,0.000254181,0.0001758206,0.0000302219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001787789,0.000239954,0.9899518,0.0001518865,0.000004289363,0.000006262679,0.0004136277,0.00002552469,0.001763356,0.00005076859,0.00005335997,0.005551398],"study_design_scores_gemma":[0.002409302,0.0008377967,0.9939808,0.00003619118,0.00007564817,0.0001828614,0.0002165491,0.0007213773,0.0006667278,0.0004314177,0.0003829025,0.00005842767],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994172,0.00005779115,0.003534206,0.0004379896,0.0002461004,0.0008254931,0.00001659811,0.00001343193,0.0006964304],"genre_scores_gemma":[0.9986106,0.00003343631,0.001008818,0.0001940652,0.00002322273,0.00004216031,0.00004197831,0.000009360664,0.00003632494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00549297,"threshold_uncertainty_score":0.2368093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02006908071924483,"score_gpt":0.2889718710413313,"score_spread":0.2689027903220864,"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."}}