{"id":"W3088233690","doi":"10.1177/1073858420958629","title":"Neural Oscillations: Understanding a Neural Code of Pain","year":2020,"lang":"en","type":"review","venue":"The Neuroscientist","topic":"Pain Mechanisms and Treatments","field":"Medicine","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Brain Institute; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; MAYDAY Fund","keywords":"Neuroscience; Nociception; Chronic pain; Artificial neural network; Psychology; Neural activity; Medicine; Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004918691,0.0003169345,0.001092457,0.0001366364,0.0002286832,0.00005344909,0.0002765892,0.00008830961,0.00003280452],"category_scores_gemma":[0.0004296024,0.0001893627,0.0004893124,0.0007147706,0.0001888034,0.00003981165,0.0001244383,0.0003309296,0.00002214869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001367307,"about_ca_system_score_gemma":0.0001326158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008433271,"about_ca_topic_score_gemma":0.000004513317,"domain_scores_codex":[0.997847,0.0005168173,0.0004812688,0.0004427755,0.0004336077,0.0002785728],"domain_scores_gemma":[0.9985643,0.0004137481,0.0003533098,0.0005003777,0.000025805,0.0001424646],"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":[0.00006469757,0.0004034645,0.00007472015,0.01759196,0.0003647718,0.001164812,0.0002200428,0.00001061566,0.0001740319,0.008496212,0.005964109,0.9654706],"study_design_scores_gemma":[0.0005006369,0.0003739305,0.00002239855,0.002617266,0.001550849,0.0003740083,0.00003339804,0.003414423,0.000003966013,0.0002740827,0.9906302,0.0002048125],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001870585,0.9943407,0.00157531,0.0006252344,0.001204794,0.001444511,0.0002124301,0.00008539616,0.0004929774],"genre_scores_gemma":[0.003072618,0.9949129,0.00009814187,0.0005540735,0.000140762,0.00003953674,0.00007775554,0.0000713395,0.001032904],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9846661,"threshold_uncertainty_score":0.7721986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1985302488430341,"score_gpt":0.3715079537217832,"score_spread":0.1729777048787492,"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."}}