{"id":"W2541571632","doi":"10.1212/wnl.86.16_supplement.p5.100","title":"Diagnostic Neurosonography in Mouse Models of Demyelinating Charcot-Marie-Tooth Diseae Type 1A (P5.100)","year":2016,"lang":"en","type":"article","venue":"Neurology","topic":"Hereditary Neurological Disorders","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Tooth disease; Pathology; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001877829,0.0003078739,0.0004401527,0.0003572953,0.00007742791,0.0000141144,0.0007191572,0.0002205143,0.0001494172],"category_scores_gemma":[0.007869605,0.0002336804,0.0001272175,0.0007859274,0.0005725131,0.0003270673,0.0002949914,0.0004674037,0.00008942351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009081883,"about_ca_system_score_gemma":0.00004798554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005182771,"about_ca_topic_score_gemma":0.00004372819,"domain_scores_codex":[0.9965429,0.0007702967,0.0005955313,0.0009784806,0.0003285383,0.0007843025],"domain_scores_gemma":[0.9931563,0.00585612,0.0001995413,0.000552553,0.00005382284,0.0001816753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001771894,0.001009099,0.1499744,0.00007056542,0.000009841762,0.0009548968,0.0001819238,0.005301188,0.8182857,0.00777788,0.0003880115,0.01427455],"study_design_scores_gemma":[0.0147782,0.03112651,0.5677198,0.0001389744,0.0001248941,0.0002793096,0.00002073561,0.04807119,0.1848468,0.1355856,0.01383577,0.003472188],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937178,0.00008267639,0.0002556506,0.003989731,0.0005189818,0.0004269404,0.00006010392,0.0001614177,0.0007866843],"genre_scores_gemma":[0.9925931,0.0004985068,0.00002424539,0.006675273,0.00006560105,0.00004767804,0.000001745238,0.00005529487,0.00003863555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6334389,"threshold_uncertainty_score":0.952921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04016689860019986,"score_gpt":0.2601786279396724,"score_spread":0.2200117293394725,"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."}}