{"id":"W3092145373","doi":"10.1016/j.neuroimage.2020.117439","title":"Cortico-spinal imaging to study pain","year":2020,"lang":"en","type":"review","venue":"NeuroImage","topic":"Pain Mechanisms and Treatments","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research; Canada First Research Excellence Fund; Deutsche Forschungsgemeinschaft; Max-Planck-Gesellschaft; Natural Sciences and Engineering Research Council of Canada; Institut de Valorisation des Données; Bundesministerium für Bildung und Forschung","keywords":"Spinal cord; Functional magnetic resonance imaging; Magnetic resonance imaging; Neuroscience; Neuroimaging; Perception; Medicine; Psychology; Computer science; Physical medicine and rehabilitation; Radiology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008278066,0.001053481,0.001388167,0.003692941,0.0002707558,0.000941163,0.0008305059,0.0012237,0.006455304],"category_scores_gemma":[0.0009202799,0.0002986168,0.0008169634,0.002384434,0.0006406222,0.001253878,0.0007358116,0.001845732,0.004469298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004891691,"about_ca_system_score_gemma":0.001112445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001281353,"about_ca_topic_score_gemma":0.002282665,"domain_scores_codex":[0.9997434,0.00005163157,0.00003573684,0.00004916009,0.00009964631,0.00002040226],"domain_scores_gemma":[0.9996062,0.0002084411,0.00004604258,0.00001635414,0.00009916473,0.00002389095],"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":[0.00005643547,0.00008332416,0.000228997,0.02735215,0.0001668711,0.0002029089,0.00007242257,0.0002204884,0.004469564,0.004743586,0.01660505,0.9457981],"study_design_scores_gemma":[0.00002154306,0.0001294803,0.001971405,0.007015162,0.0002625702,0.00276956,0.00007900472,0.0001408153,0.001881028,0.004005403,0.9816876,0.00003648717],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000154337,0.9968952,0.0004307915,0.000236275,0.0001966678,0.00001356585,0.00002908077,0.00001631956,0.00202773],"genre_scores_gemma":[0.001010558,0.9971538,0.0006124037,0.0002238577,0.0001635735,0.00001711577,0.00004828785,0.000004958838,0.0007654878],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006455304,"threshold_uncertainty_score":0.02159512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07626273536874832,"score_gpt":0.3904932637660767,"score_spread":0.3142305283973283,"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."}}