{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005504691,0.0003696657,0.0004185171,0.001577429,0.0002797041,0.0005658881,0.0003627265,0.0005215572,0.0008071605],"category_scores_gemma":[0.01090464,0.0002906539,0.0003962716,0.0004228754,0.0007162403,0.0005761986,0.0007869487,0.0003574569,0.0003896986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001671278,"about_ca_system_score_gemma":0.0001740743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007454274,"about_ca_topic_score_gemma":0.001061048,"domain_scores_codex":[0.9965708,0.001428371,0.000581825,0.0005193844,0.0006984923,0.0002010998],"domain_scores_gemma":[0.9885952,0.004786731,0.002646137,0.001025733,0.002419467,0.0005267654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002732265,0.00001824226,0.9935789,0.00002155375,0.00005813461,0.00008305359,0.0001644797,0.000129835,0.002013483,0.00001989748,0.00004108409,0.003598097],"study_design_scores_gemma":[0.00001090723,0.0002469393,0.9961374,0.00001462023,0.00006432975,0.0008887904,0.0002141654,0.001205969,0.0009321001,0.00005460412,0.0002202074,0.000009925116],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969265,0.0009222629,0.001080319,0.00002635532,0.00002103584,0.00002246735,0.00004752539,0.00001613966,0.0009374116],"genre_scores_gemma":[0.9993511,0.00009085718,0.000396673,0.000008649424,0.000009987787,0.000007195264,0.00004665887,0.000002036095,0.00008684448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005504691,"threshold_uncertainty_score":0.02911198,"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."}}