{"id":"W4410039742","doi":"10.1080/24740527.2025.2486835","title":"The pain funding gap: A database analysis of pain research funding in Canada from 2008–2023","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Pain","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University Health Network; Women's College Hospital; University of Toronto","funders":"Health Canada","keywords":"Business; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.009730414,0.0007149357,0.002653598,0.02579213,0.002746367,0.00388211,0.003440861,0.001381904,0.00330055],"category_scores_gemma":[0.08311099,0.0007430996,0.002932942,0.07847425,0.001216249,0.001399141,0.003248394,0.001516489,0.0003585934],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05717788,"about_ca_system_score_gemma":0.1584563,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9764672,"about_ca_topic_score_gemma":0.9778804,"domain_scores_codex":[0.9713427,0.002758128,0.007727158,0.002989985,0.01202472,0.003157257],"domain_scores_gemma":[0.8933233,0.02324288,0.03138605,0.002715643,0.04375451,0.005577482],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001448985,0.00008735114,0.7820421,0.04299777,0.005215622,0.0008721497,0.00193894,0.001342636,0.0002095111,0.002768209,0.1039065,0.05717026],"study_design_scores_gemma":[0.0003149606,0.0001084052,0.9102669,0.02303288,0.005390226,0.0009422365,0.003228099,0.001682554,0.0002518879,0.0006025249,0.05398163,0.0001977546],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1779165,0.1504895,0.0005839432,0.00672901,0.0002027587,0.0007380996,0.6546927,0.0001459411,0.008501485],"genre_scores_gemma":[0.7786854,0.05589347,0.00257596,0.00433741,0.000117134,0.001251121,0.1559142,0.0000807228,0.001144512],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9902696,"threshold_uncertainty_score":0.4148565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2400754786122564,"score_gpt":0.4504255728149233,"score_spread":0.210350094202667,"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."}}