{"id":"W2949052936","doi":"10.1007/s10654-019-00529-y","title":"A descriptive review of variable selection methods in four epidemiologic journals: there is still room for improvement","year":2019,"lang":"en","type":"review","venue":"European Journal of Epidemiology","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":96,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; The Quebec Population Health Research Network","funders":"Fonds de Recherche du Québec - Santé; Centre Hospitalier Universitaire de Québec","keywords":"Medicine; Observational study; Univariate; Confounding; Epidemiology; Selection (genetic algorithm); Selection bias; Descriptive statistics; Variable (mathematics); Statistics; Multivariate statistics; Computer science; Pathology; Machine learning; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.09972129,0.0007748823,0.009477704,0.0006472836,0.0000421396,0.000008033718,0.001132705,0.0003903047,0.0003066881],"category_scores_gemma":[0.1171327,0.0005130905,0.00173033,0.0005798515,0.0001162261,0.0002188551,0.0002256241,0.002109202,0.00001023051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005947526,"about_ca_system_score_gemma":0.0004908919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007505427,"about_ca_topic_score_gemma":0.00000102828,"domain_scores_codex":[0.9586874,0.02967798,0.009880893,0.0006667691,0.0002204036,0.0008665246],"domain_scores_gemma":[0.9495524,0.03208458,0.0164278,0.0006587997,0.001093161,0.0001832346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005009428,0.0001105698,0.00003034625,0.08974177,0.000657043,0.00002343148,0.00005203396,0.00001317954,0.00003618367,0.01189056,0.01766356,0.8797312],"study_design_scores_gemma":[0.0002965342,0.001815133,0.000005666915,0.1673965,0.001324237,0.0004506421,0.00001728179,0.00004244595,0.00001043149,0.1912845,0.636991,0.0003656143],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[5.162547e-7,0.5437428,0.4543507,0.0001234441,0.0002499795,0.001100842,0.00003093548,0.00001832561,0.0003824777],"genre_scores_gemma":[3.960081e-7,0.5334583,0.4655051,0.0006201105,0.0001842995,0.00003301721,0.000004026125,0.00008152104,0.0001132271],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8793656,"threshold_uncertainty_score":0.9997321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6514226894111171,"score_gpt":0.5780220217195277,"score_spread":0.07340066769158948,"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."}}