{"id":"W4327973727","doi":"10.3390/a16030166","title":"Framework for Evaluating Potential Causes of Health Risk Factors Using Average Treatment Effect and Uplift Modelling","year":2023,"lang":"en","type":"article","venue":"Algorithms","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Humber Polytechnic; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Causation; Counterfactual thinking; Logistic regression; Statistics; Computer science; Econometrics; Psychology; Machine learning; Mathematics; Social psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.01591406,0.001870432,0.003086728,0.003906805,0.0008633845,0.002777674,0.004810933,0.003315206,0.007113941],"category_scores_gemma":[0.03808649,0.001208045,0.004139946,0.002407484,0.002514123,0.002296396,0.003348031,0.003331888,0.0006188331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00247435,"about_ca_system_score_gemma":0.004277851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01919862,"about_ca_topic_score_gemma":0.01066671,"domain_scores_codex":[0.9934418,0.004100277,0.0003243266,0.001005665,0.0007725993,0.0003552618],"domain_scores_gemma":[0.9712052,0.02493793,0.001526621,0.000750929,0.001120398,0.0004589221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009453631,0.00009748244,0.004131134,0.0002159902,0.0003326216,0.0002461044,0.0001540933,0.7710939,0.0002439274,0.1999252,0.001103617,0.02236135],"study_design_scores_gemma":[0.00002755603,0.00004429296,0.0003388433,0.00003851944,0.00008330752,0.00004575209,0.00002187233,0.894126,0.00007998597,0.1037478,0.001426619,0.0000194314],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005152659,0.0005366183,0.9910145,0.001070702,0.00006179234,0.0001299821,0.0004573288,0.0001867204,0.001389733],"genre_scores_gemma":[0.4138523,0.002281468,0.5702114,0.0009350786,0.0005917845,0.002229208,0.001896732,0.0001684315,0.007833433],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01919862,"threshold_uncertainty_score":0.08416253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.313532333990839,"score_gpt":0.4935268919504549,"score_spread":0.1799945579596159,"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."}}