{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012183,0.001006363,0.001909995,0.002410809,0.0002145712,0.001601799,0.001134748,0.00162547,0.003314599],"category_scores_gemma":[0.001523318,0.000309502,0.0005346197,0.003050504,0.001072183,0.002381527,0.0007186942,0.001689484,0.001828862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006391308,"about_ca_system_score_gemma":0.002078906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001442213,"about_ca_topic_score_gemma":0.0029857,"domain_scores_codex":[0.9997364,0.00004116053,0.00005042883,0.00005373396,0.00008903649,0.00002930948],"domain_scores_gemma":[0.9987363,0.0007125961,0.000180895,0.00002309255,0.0002513163,0.00009585462],"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":[0.0001032226,0.00007526905,0.0004003222,0.0189562,0.00007156269,0.0002640085,0.00005874999,0.0002434506,0.001883885,0.001753436,0.01406032,0.9621295],"study_design_scores_gemma":[0.00005970602,0.0002720905,0.004191113,0.01282547,0.0004225496,0.005400509,0.0002899403,0.0003029662,0.001117062,0.004423702,0.970611,0.00008401891],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006677328,0.9992648,0.00007814736,0.0002168827,0.00008683244,0.000001402343,0.000006366731,0.000003309319,0.0002755319],"genre_scores_gemma":[0.000536106,0.9986565,0.0002021767,0.0001612089,0.0002597157,0.00000241021,0.00001260249,0.000001063779,0.0001682104],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003314599,"threshold_uncertainty_score":0.01108837,"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."}}