{"id":"W2782758061","doi":"10.1177/1352458517737397","title":"Americas Committee for Treatment and Research in Multiple Sclerosis Forum 2017: Environmental factors, genetics, and epigenetics in MS susceptibility and clinical course","year":2018,"lang":"en","type":"article","venue":"Multiple Sclerosis Journal","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Multiple sclerosis; Epigenetics; Multidisciplinary approach; Medicine; Neuroscience; Library science; Psychology; Biology; Genetics; Psychiatry; Gene; Sociology; Social science; Computer science","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","sts"],"consensus_categories":[],"category_scores_codex":[0.0037592,0.0005002778,0.001129227,0.0004864317,0.0008703796,0.0001991797,0.0002274867,0.0003136036,0.00004055717],"category_scores_gemma":[0.001763261,0.0004113489,0.0001929068,0.0002942624,0.003351151,0.0001987122,0.0005248342,0.0008371658,0.000005988953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005821491,"about_ca_system_score_gemma":0.0001519276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008264324,"about_ca_topic_score_gemma":0.007584278,"domain_scores_codex":[0.9946144,0.0009699876,0.00125058,0.001042007,0.0007360302,0.00138703],"domain_scores_gemma":[0.9944881,0.003551385,0.0002400554,0.0005814697,0.0002280314,0.0009110161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001193339,0.001450926,0.894784,0.00004545436,0.0001544203,0.000008123463,0.001335111,0.000003179896,0.02190559,7.155867e-7,0.0005380063,0.07858115],"study_design_scores_gemma":[0.01602197,0.004383917,0.9646878,0.0003633991,0.00007525951,0.00002594957,0.003867697,0.006114085,0.002703092,0.00003807846,0.001375995,0.0003427569],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911479,0.004513204,0.00008215592,0.001626475,0.0001940611,0.002151852,0.0002455433,0.00002005769,0.00001875991],"genre_scores_gemma":[0.9415295,0.05273563,0.005006342,0.0000896435,0.0004036685,0.0001013317,0.00003329979,0.00006691951,0.00003367814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0782384,"threshold_uncertainty_score":0.9998338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3667981618820302,"score_gpt":0.4283422132070371,"score_spread":0.06154405132500695,"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."}}