{"id":"W2962568023","doi":"10.1016/j.annepidem.2019.07.010","title":"Response to Acquavella J, conflict of interest: a hazard for epidemiology","year":2019,"lang":"en","type":"letter","venue":"Annals of Epidemiology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Confounding; Observational error; Statistics; Medicine; Sample size determination; Hazard ratio; Standard error; Observational study; Random error; Sample (material); Errors-in-variables models; Citation; Econometrics; Confidence interval; Computer science; Mathematics","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","metaepi_narrow","metaepi_broad","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.6151496,0.0009240753,0.02934654,0.001874232,0.00005824545,0.00002529269,0.00561421,0.002171024,0.004947523],"category_scores_gemma":[0.8681713,0.0004930245,0.009483721,0.0009054294,0.0005196388,0.00008277331,0.0005641454,0.001046178,0.003210204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002482855,"about_ca_system_score_gemma":0.0002757917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005859059,"about_ca_topic_score_gemma":0.00001755069,"domain_scores_codex":[0.6067335,0.307887,0.07471374,0.005588975,0.002263357,0.002813444],"domain_scores_gemma":[0.3816138,0.5674382,0.03537342,0.01037556,0.004900389,0.0002986207],"domain_codex":null,"domain_gemma":"methods","domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005247053,0.00002357031,0.005360207,0.0004321542,0.0008947065,0.000006115217,0.0001184335,0.000107713,0.0000825447,0.003015873,0.9872932,0.002140792],"study_design_scores_gemma":[0.0001935808,0.0009173378,0.002392672,0.0002149187,0.0002149336,0.00001859992,0.00003479951,0.0005598596,0.00005401369,0.04119672,0.9538502,0.0003523329],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.009377062,0.004744469,0.04810827,0.9318875,0.001307346,0.002634864,0.0008063701,0.000006431901,0.001127669],"genre_scores_gemma":[0.003555399,0.0002570928,0.0144688,0.9460737,0.000896497,0.0002247398,0.0001724882,0.00006217663,0.03428916],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2595512,"threshold_uncertainty_score":0.9997659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9593542961996878,"score_gpt":0.6488817582065084,"score_spread":0.3104725379931794,"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."}}