{"id":"W4206757749","doi":"10.1017/cjn.2021.260","title":"GP.4 Can Quantitative Susceptibility Mapping Help Diagnose and Predict Recovery of Concussion in Children?","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Biotech (Canada); Alberta Hospital Edmonton; Calgary Laboratory Services","funders":"","keywords":"Concussion; Medicine; Biomarker; Internal medicine; White matter; Poison control; Physical therapy; Magnetic resonance imaging; Injury prevention; Radiology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.003235431,0.0006741279,0.0004232559,0.001292122,0.000258172,0.001086928,0.0008516646,0.0009132025,0.004664443],"category_scores_gemma":[0.01532812,0.0002241747,0.0005574407,0.0007388784,0.0006416099,0.0007386446,0.0006571718,0.0006107189,0.001404802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00187837,"about_ca_system_score_gemma":0.002787375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05724921,"about_ca_topic_score_gemma":0.0635286,"domain_scores_codex":[0.9991838,0.0001765664,0.00006524919,0.0001472069,0.0003198324,0.0001073251],"domain_scores_gemma":[0.9968523,0.0008288758,0.0008319037,0.0001225929,0.001141421,0.0002228436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003801132,0.00004346369,0.9102213,0.0002987553,0.0001691719,0.0001155817,0.0001537035,0.001071714,0.0007311018,0.0003474206,0.006295935,0.0801717],"study_design_scores_gemma":[0.00006511337,0.0004028339,0.9818177,0.0006124947,0.0002221694,0.0007795708,0.0004568221,0.006226544,0.001163976,0.001097092,0.007122998,0.00003275549],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9417676,0.01312359,0.008111439,0.008013031,0.0003338329,0.000231991,0.008449859,0.0006388771,0.01932973],"genre_scores_gemma":[0.9879417,0.002035317,0.006181018,0.000427804,0.00009691287,0.00007239745,0.001733039,0.00004613485,0.001465654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05724921,"threshold_uncertainty_score":0.113832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07299292456712439,"score_gpt":0.3271218935867518,"score_spread":0.2541289690196273,"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."}}