{"id":"W2092580100","doi":"10.1002/mrm.20966","title":"Discrimination of errors from neuronal activity in functional MRI of the human spinal cord by means of general linear model analysis","year":2006,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Spinal cord; Neuroscience; Pulse (music); Respiratory system; Peripheral; Spinal canal; Medicine; Anatomy; Computer science; Psychology; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004361765,0.001038971,0.000823638,0.0006040749,0.000156226,0.0006761894,0.0004270939,0.0008465322,0.0007062232],"category_scores_gemma":[0.02726839,0.000329635,0.000663766,0.0004891784,0.0006713306,0.0008003681,0.0006903608,0.0008749227,0.0002661562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002912826,"about_ca_system_score_gemma":0.0005247531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002209138,"about_ca_topic_score_gemma":0.003014961,"domain_scores_codex":[0.9982513,0.00101643,0.0000976991,0.0002999725,0.0002307606,0.0001038492],"domain_scores_gemma":[0.9919549,0.00688001,0.0003884459,0.0004524836,0.0002508319,0.00007335563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005194792,0.0003306775,0.03262746,0.0008052232,0.001245864,0.0006563,0.001110272,0.5342133,0.09993206,0.003239555,0.001108585,0.319536],"study_design_scores_gemma":[0.00007005075,0.000494642,0.06709972,0.00003208607,0.0001458785,0.0003762393,0.0000760977,0.9076316,0.01733831,0.006144174,0.0004870975,0.0001041695],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5538664,0.0003823281,0.4435203,0.0002179569,0.00003067902,0.00008413072,0.000224718,0.001037084,0.0006364978],"genre_scores_gemma":[0.9393452,0.0001620242,0.05925895,0.0000600168,0.00001843116,0.00008481598,0.0004177394,0.0001819779,0.0004708832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004361765,"threshold_uncertainty_score":0.02306747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03053805321729508,"score_gpt":0.3297200772068786,"score_spread":0.2991820239895835,"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."}}