{"id":"W3093285941","doi":"10.1002/hbm.25245","title":"Sex‐differences in network level brain dynamics associated with pain sensitivity and pain interference","year":2020,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mental Health Research Canada; Hospital for Sick Children; Ontario Brain Institute; SickKids Foundation; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; MAYDAY Fund","keywords":"Magnetoencephalography; Connectome; Default mode network; Neuroscience; Psychology; Brain activity and meditation; Functional magnetic resonance imaging; Dynamic functional connectivity; Chronic pain; Salience (neuroscience); Nociception; Medicine; Electroencephalography; Functional connectivity; Internal medicine","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004402928,0.0003403551,0.0005084933,0.0001194801,0.0005699231,0.0001477507,0.0001933593,0.0001075125,0.00001682252],"category_scores_gemma":[0.04040314,0.0003277459,0.00004909811,0.0007410608,0.0003623327,0.0002255193,0.0002779636,0.000535482,0.000004410337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001665244,"about_ca_system_score_gemma":0.00004985209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008279017,"about_ca_topic_score_gemma":0.003895534,"domain_scores_codex":[0.9945748,0.003230094,0.0003310252,0.0009404852,0.0003455456,0.0005780935],"domain_scores_gemma":[0.9690538,0.03038421,0.0001894555,0.0001929465,0.00004697948,0.0001326213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000177524,0.0002545537,0.8208839,0.0002811489,0.0001464939,0.000560797,0.01371924,0.001288628,0.1070053,0.01613767,0.02439851,0.01514622],"study_design_scores_gemma":[0.001111881,0.000609924,0.7600297,0.0006585401,0.000009228158,0.00001433086,0.002463336,0.2294299,0.0001425417,0.004272912,0.0003916819,0.0008660442],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8909081,0.00002688134,0.05520035,0.05237199,0.00007209436,0.0004670298,0.00003946675,0.0002656042,0.0006484805],"genre_scores_gemma":[0.9655685,0.000002397042,0.0001531755,0.03379848,0.0001278873,0.00002705419,0.00001090428,0.00003098076,0.0002806204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2281412,"threshold_uncertainty_score":0.9999174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1028766242829167,"score_gpt":0.2503978369668782,"score_spread":0.1475212126839616,"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."}}