{"id":"W2793569277","doi":"10.1016/j.neurad.2018.02.007","title":"Evaluation of prospective motion correction of high-resolution 3D-T2-FLAIR acquisitions in epilepsy patients","year":2018,"lang":"en","type":"article","venue":"Journal of Neuroradiology","topic":"Epilepsy research and treatment","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University","funders":"Engineering and Physical Sciences Research Council; Medical Research Council; Wellcome Trust","keywords":"Fluid-attenuated inversion recovery; Nuclear medicine; Image quality; Medicine; Radiology; Coronal plane; Magnetic resonance imaging; Artificial intelligence; Computer science","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":[0.001003314,0.00008581372,0.0003742254,0.0004565099,0.00003258749,0.000001961099,0.00005295381,0.00008747487,0.00009471016],"category_scores_gemma":[0.001061554,0.00006855601,0.00008715774,0.0003047941,0.0001657746,0.0001192061,0.00001518753,0.0002040415,0.000005698883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003510603,"about_ca_system_score_gemma":0.0002125947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000597362,"about_ca_topic_score_gemma":0.00004100251,"domain_scores_codex":[0.9980375,0.0005469227,0.0005773586,0.0001319906,0.0005523583,0.0001538944],"domain_scores_gemma":[0.9968074,0.0001105068,0.0005414015,0.0001358394,0.002333465,0.00007137167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002163604,0.001864431,0.9597917,0.00003078312,0.0001954681,0.00001708848,0.0003778295,0.0007528855,0.01267671,0.00009268538,0.0005872271,0.02144954],"study_design_scores_gemma":[0.004868308,0.01053122,0.9736416,0.00009567706,0.0002247444,0.0001191949,0.00004066397,0.003754142,0.005922199,0.0007522284,0.00001344259,0.00003657569],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976658,0.00008184177,0.0003912254,0.0001980317,0.0007263824,0.0004607094,0.000008094487,0.000003999866,0.0004638873],"genre_scores_gemma":[0.9993775,0.00006315245,0.0002773005,0.00002398556,0.0002097697,0.00001027307,0.00001673148,0.000008157357,0.00001313517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02141297,"threshold_uncertainty_score":0.2795633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03019183485487227,"score_gpt":0.3285266168021471,"score_spread":0.2983347819472749,"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."}}