{"id":"W3087319203","doi":"10.1089/neu.2020.7141","title":"Functional and Structural Neuroimaging Correlates of Repetitive Low-Level Blast Exposure in Career Breachers","year":2020,"lang":"en","type":"article","venue":"Journal of Neurotrauma","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Neuroimaging; Medicine; Magnetic resonance imaging; Functional magnetic resonance imaging; Neuropsychology; Traumatic brain injury; Blood-oxygen-level dependent; Physical medicine and rehabilitation; Psychology; Neuroscience; Cognition; Psychiatry; Radiology","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":[0.0002333794,0.0001334654,0.0003949591,0.0001921198,0.00002650833,0.00001945472,0.0001015017,0.00005658093,0.0001437936],"category_scores_gemma":[0.000661387,0.0001098891,0.0001077974,0.0002503551,0.0001598358,0.0001819671,0.00004676983,0.000796756,0.000002482087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003337329,"about_ca_system_score_gemma":0.000131895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008287741,"about_ca_topic_score_gemma":0.000003843802,"domain_scores_codex":[0.9983482,0.000107395,0.0006025551,0.0001772678,0.0005712265,0.0001932926],"domain_scores_gemma":[0.9988624,0.0002613663,0.0002644083,0.0001091755,0.0002712989,0.0002313365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003829366,0.0001524894,0.8755096,0.0005730086,0.0002205347,0.001931409,0.006147082,0.0004765039,0.08665202,0.00007565322,0.001566633,0.02286576],"study_design_scores_gemma":[0.00279173,0.001184245,0.9897654,0.000237407,0.00004652736,0.001945536,0.0008683869,0.001056014,0.001935787,0.00005097089,0.00004159715,0.00007638628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935678,0.0001564651,0.0000532601,0.005632306,0.0001623746,0.0001660998,0.00001343363,0.000007556763,0.000240764],"genre_scores_gemma":[0.9989728,0.00002237889,0.0003078486,0.0004583188,0.0001779829,0.000001157135,0.000001807628,0.00002256971,0.00003509246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1142559,"threshold_uncertainty_score":0.4481148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1852044323607323,"score_gpt":0.3371075461118582,"score_spread":0.1519031137511258,"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."}}