{"id":"W2090401534","doi":"10.1016/j.nicl.2015.04.006","title":"Multiple sclerosis, cannabis, and cognition: A structural MRI study","year":2015,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"Multiple Sclerosis Society; Multiple Sclerosis Society of Canada","keywords":"Cannabis; White matter; Psychology; Brain size; Cognition; Neuropsychology; Fornix; Effects of sleep deprivation on cognitive performance; Neuroscience; Medicine; Audiology; Psychiatry; Magnetic resonance imaging; Hippocampus; Radiology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009563022,0.0001903583,0.0004598463,0.00008543024,0.0001078476,0.00008806322,0.0001219294,0.0001106999,0.0001032422],"category_scores_gemma":[0.00230427,0.0001545951,0.0001273391,0.0002135783,0.0003891499,0.0001108566,0.0002158535,0.0006685083,0.00005443604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003079658,"about_ca_system_score_gemma":0.000323371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001271135,"about_ca_topic_score_gemma":0.00009774249,"domain_scores_codex":[0.9975432,0.0002910004,0.000560108,0.0006352953,0.0006012345,0.0003692219],"domain_scores_gemma":[0.9980932,0.00005865264,0.00007517513,0.0004799986,0.0004255588,0.0008674401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001427272,0.0009677571,0.6381767,0.00004279172,0.00007197705,0.0006502368,0.0003542377,0.000001476663,0.0005057667,0.00001227253,0.3449657,0.01282374],"study_design_scores_gemma":[0.00950118,0.003632194,0.9532735,0.00002514167,0.0001191978,0.0002107745,0.0006618095,0.0007348136,0.00007329248,0.00004672776,0.03154712,0.0001742474],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840016,0.0002765838,0.000013532,0.01314909,0.0004426973,0.001006945,0.00002481512,0.00008910947,0.0009955808],"genre_scores_gemma":[0.9938308,0.00006133646,0.0002002048,0.001633326,0.0006275839,0.00005530535,0.00002026861,0.0000370901,0.003534082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3150968,"threshold_uncertainty_score":0.6304203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1715685299450598,"score_gpt":0.408207015795809,"score_spread":0.2366384858507491,"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."}}