{"id":"W4414964860","doi":"10.1136/oemed-2025-epicohabstracts.1","title":"8277626 Application of bias analysis: the case of socioeconomic status and lung cancer in a pooled international case-control study","year":2025,"lang":"en","type":"article","venue":"","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lung cancer; Confounding; Quartile; Odds ratio; Logistic regression; Socioeconomic status; Confidence interval; Information bias","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":[],"consensus_categories":[],"category_scores_codex":[0.08685093,0.001055302,0.002148235,0.003631175,0.0008686362,0.001790855,0.001935112,0.001755894,0.00758401],"category_scores_gemma":[0.1951006,0.0008072812,0.008304551,0.004581826,0.0007941392,0.0008061882,0.002407539,0.001028702,0.0005956707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008645782,"about_ca_system_score_gemma":0.002070816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00731291,"about_ca_topic_score_gemma":0.006234635,"domain_scores_codex":[0.906907,0.07406512,0.008034956,0.00570993,0.004351689,0.0009313897],"domain_scores_gemma":[0.929468,0.04485768,0.007079878,0.01417713,0.004054661,0.0003626099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005859224,0.000227804,0.6712347,0.01031242,0.1006648,0.001866956,0.001483655,0.009079076,0.001521562,0.02099016,0.01292943,0.1638302],"study_design_scores_gemma":[0.005830811,0.002844195,0.4859981,0.01330437,0.1947535,0.00435467,0.0014547,0.1003242,0.004171558,0.06665181,0.1197865,0.00052553],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2304765,0.05217891,0.6763179,0.003712811,0.002399164,0.008801386,0.01118787,0.0009254122,0.01400004],"genre_scores_gemma":[0.8222897,0.004056749,0.1562416,0.001394713,0.000622205,0.008243385,0.004544134,0.0001761201,0.002431468],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08685093,"threshold_uncertainty_score":0.4593171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0254965479271746,"score_gpt":0.3723373519272539,"score_spread":0.3468408040000793,"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."}}