{"id":"W2040067222","doi":"10.1016/j.bbadis.2010.12.003","title":"Special issue on Molecular Basis of Multiple Sclerosis","year":2010,"lang":"en","type":"article","venue":"Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease","topic":"Biological Research and Disease Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Multiple sclerosis; Basis (linear algebra); Computational biology; Cognitive science; Computer science; Epistemology; Neuroscience; Data science; Medicine; Psychology; Biology; Philosophy; Mathematics; Immunology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002273263,0.0005490619,0.0005803872,0.0001749346,0.0001265335,0.00004232041,0.0008146812,0.0002893055,0.0001657229],"category_scores_gemma":[0.001511803,0.000484995,0.0008774254,0.0003689002,0.000825308,0.00001440025,0.0005586776,0.0003261854,0.00003572353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001563386,"about_ca_system_score_gemma":0.0002727104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000348551,"about_ca_topic_score_gemma":0.0000115643,"domain_scores_codex":[0.9967905,0.0002557577,0.0005611299,0.001004208,0.0007251101,0.000663239],"domain_scores_gemma":[0.997194,0.00009068073,0.0003071679,0.001301051,0.0003541463,0.0007529769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00204417,0.001382289,0.0001635658,0.0001213725,0.0003637027,0.00001722166,0.00002034633,0.000008427461,0.9884446,0.0004545582,0.004929467,0.002050284],"study_design_scores_gemma":[0.001219429,0.0008194142,0.02063979,0.00006805838,0.000172093,4.843014e-7,0.00003969086,0.00001864743,0.9738426,0.0002203292,0.002456782,0.0005027074],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936006,0.0002710328,0.00004688892,0.001572449,0.0002385724,0.0005716915,0.001102279,0.00003059777,0.00256586],"genre_scores_gemma":[0.9962899,0.0004143818,0.0006502891,0.0008889911,0.001106167,0.00008799813,0.0004295976,0.00006894083,0.00006372466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02047623,"threshold_uncertainty_score":0.9997602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01591867561574893,"score_gpt":0.2632275153735766,"score_spread":0.2473088397578277,"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."}}