{"id":"W2026726213","doi":"10.1016/j.pain.2014.05.025","title":"Research designs for proof-of-concept chronic pain clinical trials: IMMPACT recommendations","year":2014,"lang":"en","type":"review","venue":"Pain","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":110,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Clinical trial; Medicine; Clinical study design; Sample size determination; Research design; Chronic pain; Proof of concept; Population; Medical physics; Intensive care medicine; Physical therapy; Computer science; Statistics; Mathematics; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4489118,0.005023649,0.007617968,0.008751223,0.002525063,0.01043552,0.01439727,0.03362991,0.02339482],"category_scores_gemma":[0.6052136,0.005480717,0.01462729,0.007170175,0.008785597,0.009730433,0.007745947,0.03219297,0.0266664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008426979,"about_ca_system_score_gemma":0.04327387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003492774,"about_ca_topic_score_gemma":0.003430255,"domain_scores_codex":[0.52622,0.3598855,0.05378247,0.007026112,0.04905339,0.004032464],"domain_scores_gemma":[0.2576192,0.5354447,0.04663218,0.03278806,0.1170124,0.01050355],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003135278,0.0005678665,0.0006012688,0.06736851,0.001215027,0.000468708,0.0008484733,0.003707384,0.001263316,0.05322485,0.4664277,0.4011716],"study_design_scores_gemma":[0.004884365,0.00130251,0.001769261,0.1225706,0.00210676,0.0006631517,0.0002395764,0.003852965,0.001745217,0.07791714,0.7826573,0.0002912042],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009454537,0.159627,0.3648933,0.2808009,0.06297586,0.06322201,0.007825343,0.005233009,0.05447705],"genre_scores_gemma":[0.004753445,0.04593171,0.7595242,0.08687989,0.01335675,0.07840826,0.00256665,0.0007595896,0.007819395],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5510882,"threshold_uncertainty_score":0.6795899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.969877637237985,"score_gpt":0.7863547361162134,"score_spread":0.1835229011217716,"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."}}