{"id":"W1911491876","doi":"","title":"Patches of hair loss on the scalp.","year":2006,"lang":"fr","type":"article","venue":"PubMed","topic":"Eosinophilic Disorders and Syndromes","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Scalp; Computer science; Hair loss; Data science; Dermatology; Medicine","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":[0.0005155055,0.0001654997,0.0003176217,0.00005510531,0.00006175639,0.00001766816,0.0001606488,0.0001252033,0.0003111123],"category_scores_gemma":[0.0001706012,0.0001080328,0.0001570336,0.0002149284,0.0004401068,0.00004337727,0.00003547552,0.0001875271,0.0001013438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005042233,"about_ca_system_score_gemma":0.00003982876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000785389,"about_ca_topic_score_gemma":0.00007241202,"domain_scores_codex":[0.9985242,0.00008144297,0.0003240803,0.0002064534,0.000329954,0.0005339035],"domain_scores_gemma":[0.9990726,0.0002708487,0.0001036184,0.0004023883,0.00005295513,0.00009755152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001309206,0.001780801,0.1251827,0.0004874469,0.0002126191,0.0001258605,0.0003793423,0.00003869265,0.00003513456,0.1013825,0.1408888,0.6293553],"study_design_scores_gemma":[0.0008000626,0.00009356836,0.896081,0.0001524475,0.0001090494,0.00002458494,0.0002667038,0.00003448555,0.001087491,0.007583142,0.09363549,0.0001319242],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7923772,0.02209807,0.00001355014,0.07262441,0.001375556,0.0009400867,0.00003559112,0.00002864419,0.1105069],"genre_scores_gemma":[0.9392819,0.0003895541,0.00001339829,0.0007484074,0.0005539053,0.0002742578,0.000007812365,0.00002196693,0.05870878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7708984,"threshold_uncertainty_score":0.4405449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01838020144093091,"score_gpt":0.2038948163546373,"score_spread":0.1855146149137064,"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."}}