{"id":"W4210865417","doi":"10.1038/s41366-021-00981-5","title":"Selection bias: “The unseen enemy is always the most fearsome”","year":2022,"lang":"en","type":"letter","venue":"International Journal of Obesity","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Department of Epidemiology, Biostatistics and Occupational Health, McGill University; University at Buffalo; McGill University; Department of Physiology and Biophysics, University at Buffalo; University of Minnesota","keywords":"Selection (genetic algorithm); Medicine; Psychology; Computer science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01455563,0.00081183,0.002215508,0.0009285074,0.005009433,0.004824522,0.001946626,0.04102988,0.006887019],"category_scores_gemma":[0.1143966,0.0006804804,0.001114721,0.0009345867,0.01035488,0.005436933,0.001845489,0.0751709,0.004161464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00406858,"about_ca_system_score_gemma":0.005865625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008962411,"about_ca_topic_score_gemma":0.01094358,"domain_scores_codex":[0.9929895,0.003352367,0.000603176,0.001151618,0.001324806,0.0005783591],"domain_scores_gemma":[0.9403986,0.04830764,0.002306912,0.001479798,0.004520939,0.002986185],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001254492,0.00004543022,0.001940904,0.00006369399,0.00006961488,0.0009800909,0.0009214728,0.0000829125,0.0001282797,0.04123456,0.9371291,0.01727863],"study_design_scores_gemma":[0.0005265672,0.00008994305,0.004192223,0.0009279634,0.0001849261,0.003748469,0.002677759,0.002541343,0.0004982895,0.3668168,0.6176093,0.0001865465],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000276081,0.0002973132,0.0002652408,0.9944701,0.003922782,0.000002962727,0.00002185133,0.000005550803,0.0007381056],"genre_scores_gemma":[0.007913682,0.0004781429,0.0005049114,0.9621611,0.026035,0.00003048597,0.00001591292,0.00002106942,0.002839741],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9854444,"threshold_uncertainty_score":0.07697839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1434234288843806,"score_gpt":0.3891131524901326,"score_spread":0.245689723605752,"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."}}