{"id":"W4414077135","doi":"10.1093/braincomms/fcag146","title":"Convergent structural brain alterations in chronic pain: A multi-metric individual participant data meta-analysis","year":2025,"lang":"en","type":"article","venue":"Brain Communications","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute of Neurological Disorders and Stroke; National Institute on Drug Abuse; Natural Sciences and Engineering Research Council of Canada; Northwestern University","keywords":"Chronic pain; Large sample; Brain morphometry; Neuroimaging; Entorhinal cortex; Brain anatomy; Chronic disease; Brain size","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":[0.03291572,0.002345279,0.009006408,0.003868788,0.0008940192,0.003142976,0.002189742,0.001886712,0.002343048],"category_scores_gemma":[0.05711406,0.001296798,0.03943761,0.005046664,0.0009258421,0.001375675,0.002291391,0.002188859,0.0002632584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001372272,"about_ca_system_score_gemma":0.001580432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006412726,"about_ca_topic_score_gemma":0.008235393,"domain_scores_codex":[0.9728643,0.01929506,0.002630807,0.003287209,0.00136796,0.0005547628],"domain_scores_gemma":[0.9634704,0.02724713,0.003020004,0.004118776,0.001774717,0.0003690155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.003193667,0.00002475735,0.03730892,0.01412262,0.9367319,0.000190223,0.0001066798,0.001435246,0.0007069103,0.0002678132,0.0006489782,0.00526244],"study_design_scores_gemma":[0.0007508982,0.0003046531,0.02722714,0.001183015,0.9663948,0.000202202,0.00006357723,0.001472175,0.0002489788,0.0008997343,0.001214263,0.00003870317],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2439905,0.702508,0.03705231,0.002196499,0.0007176707,0.001001613,0.01044636,0.0006194012,0.001467589],"genre_scores_gemma":[0.9589962,0.02502671,0.01083625,0.0006473936,0.0001528912,0.001070605,0.002814605,0.0001232122,0.0003322365],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03291572,"threshold_uncertainty_score":0.1740771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2515839297548555,"score_gpt":0.437480182874501,"score_spread":0.1858962531196455,"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."}}