{"id":"W2967929375","doi":"10.1101/734137","title":"What difference do retractions make? An estimate of the epistemic impact of retractions on recent meta-analyses","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Academic integrity and plagiarism","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Public Health; Ottawa Hospital; University of Ottawa","funders":"","keywords":"Sample size determination; Meta-analysis; Publication bias; Null hypothesis; Statistics; Psychology; Econometrics; Epistemology; Confidence interval; Mathematics; Philosophy; 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":[{"model":"gemma","categories":["metaresearch","research_integrity"],"domain":"evaluation","study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch","research_integrity"],"domain":"evaluation","study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.002818991,0.0004936403,0.001103538,0.0002847764,0.0004789214,0.0002715392,0.001344629,0.001865729,0.0004491857],"category_scores_gemma":[0.001598501,0.0003531686,0.000939958,0.0009450092,0.0005155451,0.0004504332,0.0002215141,0.003781052,0.00002892532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006612928,"about_ca_system_score_gemma":0.00193006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003357253,"about_ca_topic_score_gemma":0.0001621388,"domain_scores_codex":[0.9953826,0.001321216,0.000902004,0.0007714669,0.00111997,0.000502747],"domain_scores_gemma":[0.9945227,0.0005775241,0.001648329,0.001803391,0.001209497,0.0002385613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000464822,0.002732893,0.0686237,0.001214365,0.01924838,0.00002379552,0.003102584,0.01119561,0.8331544,0.05664227,0.003459092,0.0001380886],"study_design_scores_gemma":[0.0006503785,0.000440022,0.803238,0.002450265,0.01247002,1.147249e-7,0.001010314,0.001094173,0.1663917,0.0005638054,0.009316915,0.002374339],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879352,0.001837874,0.0002986406,0.00275496,0.004849507,0.001131109,0.0008153436,0.0001376055,0.0002397903],"genre_scores_gemma":[0.9937571,0.005082964,0.0005423433,0.00008084525,0.0003734434,0.00005486922,6.422036e-7,0.00004715477,0.00006060933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7346143,"threshold_uncertainty_score":0.9998921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1090196077385282,"score_gpt":0.3766218629677643,"score_spread":0.2676022552292362,"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."}}