{"id":"W261013088","doi":"10.3138/cjpe.24.002","title":"A Promising New Approach to Eliminating Selection Bias","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Program Evaluation","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Variance (accounting); Computer science; Process (computing); Selection bias; Transformation (genetics); Econometrics; Data science; Data mining; Machine learning; Artificial intelligence; Statistics; Mathematics; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03433065,0.001199214,0.001868006,0.00294312,0.001514091,0.003042299,0.003466829,0.0017944,0.01148176],"category_scores_gemma":[0.08830407,0.0006123001,0.002936846,0.004183227,0.00370623,0.004186637,0.003559105,0.004369782,0.002001518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001132381,"about_ca_system_score_gemma":0.004556207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001612069,"about_ca_topic_score_gemma":0.001588478,"domain_scores_codex":[0.9619994,0.02777738,0.001130523,0.003299268,0.005354843,0.0004385601],"domain_scores_gemma":[0.9548535,0.0312977,0.002586777,0.007796601,0.003088538,0.0003768411],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001229204,0.0001503148,0.002779693,0.0004271616,0.0005891283,0.0001125169,0.0009205969,0.005970741,0.001035542,0.7502031,0.00710261,0.2305856],"study_design_scores_gemma":[0.0002078457,0.0001840668,0.001741139,0.0001473024,0.0001332426,0.00027665,0.0001961022,0.03087467,0.001179547,0.9350123,0.0299916,0.00005552765],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001800245,0.0001878312,0.9933991,0.001821018,0.0001741939,0.0001159186,0.000126286,0.0001565113,0.002218846],"genre_scores_gemma":[0.07132465,0.0005594312,0.9196721,0.001830835,0.0006563796,0.001035254,0.0002690192,0.000166628,0.004485658],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9656693,"threshold_uncertainty_score":0.18156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5436381024989055,"score_gpt":0.5032713346008978,"score_spread":0.04036676789800775,"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."}}