{"id":"W7132970944","doi":"","title":"Generalized Variable Importance Metric: An approach to identify important predictors from machine learning models","year":2025,"lang":"","type":"dissertation","venue":"TSpace","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metric (unit); Regression; Measure (data warehouse); Regression analysis; Black box; Variable (mathematics); Correlation; Generalized linear model; Instrumental variable","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":[0.01292184,0.002251853,0.002664459,0.005586798,0.0007344157,0.002883843,0.002842092,0.002125514,0.002279114],"category_scores_gemma":[0.0410597,0.0007580879,0.002019636,0.004142622,0.001842363,0.003328699,0.003531609,0.004203571,0.0005755476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001467777,"about_ca_system_score_gemma":0.002563063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002040631,"about_ca_topic_score_gemma":0.001923297,"domain_scores_codex":[0.9913499,0.005365389,0.00054266,0.00106926,0.001447907,0.0002248186],"domain_scores_gemma":[0.9794202,0.01590121,0.001382168,0.001333054,0.001606765,0.000356509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002088263,0.0002127808,0.01536203,0.00142703,0.001126745,0.0003176501,0.000534427,0.2921382,0.00277919,0.2712539,0.01548089,0.3991583],"study_design_scores_gemma":[0.00002702421,0.0001350974,0.001613078,0.0001791349,0.00007260513,0.0001382407,0.00007451428,0.7369831,0.0009272302,0.2517926,0.007994121,0.0000632984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002620296,0.0008193182,0.9952136,0.0003428473,0.00008912481,0.00007815484,0.0001842431,0.0002193444,0.0004330753],"genre_scores_gemma":[0.1626541,0.001930609,0.830235,0.0005517994,0.0006476101,0.0008398311,0.001279671,0.0002903309,0.001571036],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01292184,"threshold_uncertainty_score":0.06833804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1251811355100874,"score_gpt":0.4238559980188738,"score_spread":0.2986748625087864,"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."}}