{"id":"W4404167433","doi":"10.1093/pm/pnae081","title":"Monitoring and reporting adverse events in pragmatic clinical trials testing nonpharmacological pain management interventions","year":2024,"lang":"en","type":"article","venue":"Pain Medicine","topic":"Pain Management and Placebo Effect","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Army Medical Research Acquisition Activity; Office of Behavioral and Social Sciences Research; National Center for Complementary and Integrative Health; National Center for Advancing Translational Sciences; National Institutes of Health; U.S. Department of Defense","keywords":"Medicine; Pain management; Psychological intervention; Adverse effect; Clinical trial; Intensive care medicine; MEDLINE; Pain medicine; Physical therapy; Anesthesia; Nursing; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.7628611,0.00881953,0.02310614,0.02097871,0.004430392,0.01395645,0.008878847,0.01527067,0.01215824],"category_scores_gemma":[0.8404325,0.006164813,0.02492286,0.01911234,0.007804006,0.01341893,0.00971086,0.01099215,0.004005773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008227743,"about_ca_system_score_gemma":0.02503155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001478031,"about_ca_topic_score_gemma":0.00243522,"domain_scores_codex":[0.06320266,0.6399934,0.2501127,0.01373278,0.03151451,0.001443978],"domain_scores_gemma":[0.06900984,0.6514884,0.1446152,0.08421522,0.04850046,0.002170854],"domain_codex":"methods","domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.0382141,0.00182313,0.02421486,0.4158741,0.07010421,0.001601462,0.01510271,0.006058905,0.003295054,0.04088962,0.05747928,0.3253427],"study_design_scores_gemma":[0.06778185,0.01419828,0.04087785,0.306783,0.03933432,0.001862496,0.002898904,0.02859487,0.0116408,0.1560625,0.3279914,0.00197385],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"empirical","genre_scores_codex":[0.01061901,0.04822149,0.2052497,0.01308765,0.01059286,0.6860379,0.01185156,0.002029346,0.0123104],"genre_scores_gemma":[0.04120193,0.006298206,0.2225292,0.005601765,0.002030925,0.7191174,0.002194132,0.0003224901,0.0007039779],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2371389,"threshold_uncertainty_score":0.2924346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.42451431902132,"score_gpt":0.5273580435990376,"score_spread":0.1028437245777176,"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."}}