{"id":"W2980330578","doi":"10.1212/wnl.0000000000008523","title":"Mapping brain recovery after concussion","year":2019,"lang":"en","type":"article","venue":"Neurology","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre; St. Michael's Hospital","funders":"Canadian Institutes of Health Research","keywords":"Concussion; Medicine; Traumatic brain injury; Fractional anisotropy; Cerebral blood flow; White matter; Internal medicine; Physical medicine and rehabilitation; Cardiology; Physical therapy; Magnetic resonance imaging; Poison control; Radiology; Emergency medicine; Injury prevention","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003651696,0.0002856159,0.0002512701,0.0006438644,0.0002446339,0.0002852714,0.000279199,0.0003410877,0.001046701],"category_scores_gemma":[0.001740188,0.0001038441,0.0001437333,0.0002675081,0.0002443113,0.0003503731,0.000418827,0.0001910114,0.0002479184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002802976,"about_ca_system_score_gemma":0.0003239574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004731182,"about_ca_topic_score_gemma":0.007471389,"domain_scores_codex":[0.9998446,0.0000286316,0.00001036133,0.00004874279,0.00003194296,0.00003578776],"domain_scores_gemma":[0.9995907,0.00004532144,0.0002147927,0.00002339487,0.00007741907,0.00004827798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002592227,0.0005822455,0.872672,0.0002795222,0.0001824193,0.0007492833,0.0008980956,0.001091403,0.03783608,0.0001041867,0.0007747087,0.08223785],"study_design_scores_gemma":[0.0000151479,0.0009067621,0.9949622,0.00001668556,0.00002834098,0.0005184749,0.0002272475,0.0006148917,0.002339321,0.00008870862,0.0002747899,0.000007297213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985231,0.0002507654,0.0006461299,0.00002892535,0.00000307935,0.00002844721,0.0001951764,0.00001674681,0.0003076656],"genre_scores_gemma":[0.9985219,0.0001488241,0.0005801024,0.00001327077,0.000009093927,0.00003204285,0.0003137839,0.000004180812,0.0003768681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004731182,"threshold_uncertainty_score":0.009407282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03280851002074991,"score_gpt":0.3074408530873068,"score_spread":0.2746323430665569,"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."}}