{"id":"W4400411385","doi":"10.1016/j.imr.2024.101068","title":"How can meta-research be used to evaluate and improve the quality of research in the field of traditional, complementary, and integrative medicine?","year":2024,"lang":"en","type":"article","venue":"Integrative Medicine Research","topic":"Complementary and Alternative Medicine Studies","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Ottawa Hospital","funders":"National Center for Complementary and Integrative Health; National Institutes of Health","keywords":"Rigour; Credibility; Transparency (behavior); Engineering ethics; Scientific misconduct; Research design; Research ethics; Quality (philosophy); Safeguarding; Incentive; Field (mathematics); Management science; Publication bias; Public relations; Psychology; Medicine; Political science; Sociology; Meta-analysis; Alternative medicine; Social science; Engineering; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04563694,0.0003991634,0.001465378,0.001996676,0.0004890513,0.00005167952,0.000723429,0.00004773957,0.0005971745],"category_scores_gemma":[0.01805298,0.0001489627,0.0001404525,0.00348856,0.008657259,0.0001297874,0.0005208774,0.003264651,0.000001480044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002327537,"about_ca_system_score_gemma":0.0004141934,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02238835,"about_ca_topic_score_gemma":0.01260356,"domain_scores_codex":[0.9845765,0.007050831,0.001025287,0.000852195,0.005660624,0.0008345929],"domain_scores_gemma":[0.9317983,0.06400045,0.0001048782,0.0006910264,0.003145241,0.0002601405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00249728,0.0008052683,0.01634816,0.003060098,0.005898017,0.0003298237,0.4248961,5.778141e-7,0.07221381,0.239746,0.1913856,0.04281926],"study_design_scores_gemma":[0.004185441,0.02916684,0.0300584,0.005115381,0.0005879906,0.00005330106,0.8458238,0.0003075328,0.01336803,0.03950242,0.03158241,0.0002483927],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4720608,0.009160012,0.0001071073,0.5117991,0.0001746988,0.003113727,0.000174163,0.00001129081,0.003399083],"genre_scores_gemma":[0.9955469,0.00118204,0.00008163791,0.0007399501,0.0007567474,0.0007065236,0.0000597549,0.00002355729,0.0009028466],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5234861,"threshold_uncertainty_score":0.9990349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7403841828605562,"score_gpt":0.6327225633544508,"score_spread":0.1076616195061054,"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."}}