{"id":"W4392922065","doi":"10.1002/nbm.5142","title":"ComBating inter‐site differences in field strength: harmonizing preclinical traumatic brain injury MRI data","year":2024,"lang":"en","type":"article","venue":"NMR in Biomedicine","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Island University","funders":"National Institute of Neurological Disorders and Stroke; National Health and Medical Research Council","keywords":"Traumatic brain injury; Medicine; Corpus callosum; Magnetic resonance imaging; Nuclear medicine; Neuroimaging; Effective diffusion coefficient; Diffusion MRI; Radiology; Pathology","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":[],"consensus_categories":[],"category_scores_codex":[0.0005713756,0.0001631145,0.0003811238,0.0003793542,0.00002717577,0.00002565437,0.0003091329,0.00009315959,0.0001026661],"category_scores_gemma":[0.0008649203,0.0001281031,0.00003394979,0.0007545973,0.00008552485,0.0001280186,0.0002234979,0.0006750834,0.00001524526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008763076,"about_ca_system_score_gemma":0.00005848541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001610319,"about_ca_topic_score_gemma":0.00008200244,"domain_scores_codex":[0.9983409,0.00005025689,0.0006286898,0.000534324,0.0001967495,0.0002490628],"domain_scores_gemma":[0.9980748,0.001073407,0.00006066985,0.0006679473,0.00001667776,0.0001064539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001984066,0.0008964424,0.167384,0.001561856,0.00006108613,0.0004904714,0.002517055,9.013643e-7,0.01991804,0.001026028,0.0657436,0.7402021],"study_design_scores_gemma":[0.008942679,0.005552176,0.1743614,0.04972412,0.0004385443,0.0004890164,0.002568958,0.4994067,0.008659157,0.01531694,0.2325696,0.001970797],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7526699,0.001866301,0.02796394,0.214412,0.0003510223,0.001156002,0.0001145667,0.0006285594,0.0008376919],"genre_scores_gemma":[0.9844963,0.0003413935,0.01196883,0.002475476,0.000194587,0.00005047188,0.000186172,0.00002492733,0.0002618371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7382313,"threshold_uncertainty_score":0.5223891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3168383269899163,"score_gpt":0.4728099251554381,"score_spread":0.1559715981655218,"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."}}