{"id":"W2469377685","doi":"10.1053/j.sult.2016.07.007","title":"Functional Magnetic Resonance Imaging of the Spinal Cord: Current Status and Future Developments","year":2016,"lang":"en","type":"review","venue":"Seminars in Ultrasound CT and MRI","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; Université de Montréal","funders":"","keywords":"Magnetic resonance imaging; Functional magnetic resonance imaging; Spinal cord; Neuroscience; Functional imaging; Computer science; Medicine; Psychology; 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":[0.0001044146,0.0002298157,0.0005127459,0.00007915976,0.0000759022,0.000008800585,0.00008195345,0.0000491436,0.00002907191],"category_scores_gemma":[0.00002582936,0.0001359522,0.00007944792,0.000204878,0.0001968845,0.00003497284,0.00006708849,0.0002976486,0.000001672426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000834142,"about_ca_system_score_gemma":0.0001767296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003070424,"about_ca_topic_score_gemma":0.000002015066,"domain_scores_codex":[0.9989324,0.00002372025,0.000349109,0.0003098554,0.0001628929,0.0002220226],"domain_scores_gemma":[0.9994048,0.00007759161,0.0001683084,0.0002380895,0.00003887753,0.00007232476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002193517,0.0000292257,0.001630659,0.001218915,0.000002774081,0.00000224874,0.00001379566,3.827385e-9,0.000004749522,0.0006447037,0.0006983323,0.9957327],"study_design_scores_gemma":[0.0002260165,0.00006114534,0.00610159,0.02111318,0.00009782368,0.0003684318,0.0000421158,1.324055e-7,0.000006411572,0.0006114285,0.9712259,0.0001458789],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001644644,0.9983169,0.0001521315,0.00008506598,0.0001790027,0.0006394231,0.00005996062,0.00001551002,0.0003875525],"genre_scores_gemma":[0.0001335949,0.9969688,0.002117227,0.00002726288,0.0001512844,0.0001276781,0.00002965073,0.00002165658,0.0004228121],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9955868,"threshold_uncertainty_score":0.554397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01927732699124297,"score_gpt":0.3376618184145116,"score_spread":0.3183844914232686,"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."}}