{"id":"W6907774251","doi":"10.25384/sage.c.4260767","title":"Analysis of Canadian multiple sclerosis patients does not support a role for FKBP6 in disease","year":2018,"lang":"en","type":"other","venue":"Sage Journals Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multiple sclerosis; Penetrance; Phenocopy; Disease; Missense mutation; Exome sequencing; Family history; Allele","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001112257,0.0005094684,0.0007850504,0.001097457,0.001272248,0.0008540392,0.001907424,0.001802365,0.01307432],"category_scores_gemma":[0.009714126,0.0001886605,0.0007208892,0.001341145,0.001026906,0.0005194442,0.0003629764,0.001587167,0.001961346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002553199,"about_ca_system_score_gemma":0.002888434,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4351694,"about_ca_topic_score_gemma":0.4507853,"domain_scores_codex":[0.9987416,0.0001128762,0.0001140699,0.0002186461,0.0005533369,0.0002594573],"domain_scores_gemma":[0.9947217,0.001291138,0.0004567524,0.000237072,0.002639285,0.0006541956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003488492,0.0001535557,0.4987489,0.00094717,0.001298826,0.01065989,0.001764749,0.0002842514,0.004568094,0.003247668,0.3900403,0.08479805],"study_design_scores_gemma":[0.0002567947,0.0002597875,0.7254905,0.0008360754,0.001188376,0.01467969,0.001564316,0.0008729417,0.002224183,0.00235738,0.2501038,0.0001660544],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.431927,0.04013093,0.002091449,0.4165797,0.01703012,0.0000773466,0.02023203,0.0005852007,0.07134622],"genre_scores_gemma":[0.9241739,0.01463575,0.001763314,0.03108996,0.007267945,0.00002238641,0.004140149,0.0002235474,0.01668303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5648305,"threshold_uncertainty_score":0.8652729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0732368612246564,"score_gpt":0.2997328689103234,"score_spread":0.226496007685667,"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."}}