{"id":"W3159134962","doi":"","title":"Does Invariant Risk Minimization Capture Invariance","year":2021,"lang":"en","type":"article","venue":"International Conference on Artificial Intelligence and Statistics","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Invariant (physics); Minification; Generalization; Computer science; Population; Applied mathematics; Mathematical optimization; Mathematics; Artificial intelligence; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002695239,0.0001930983,0.0001769217,0.00009206129,0.0001867637,0.0006992389,0.0005581268,0.0001038752,0.000309706],"category_scores_gemma":[0.0007860942,0.0001472274,0.00003268907,0.0002088475,0.0001141733,0.0003162513,0.0001662592,0.0002918972,0.0001124219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003478099,"about_ca_system_score_gemma":0.0002387725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009951791,"about_ca_topic_score_gemma":0.0002702361,"domain_scores_codex":[0.9982072,0.0001631166,0.000427862,0.0005693103,0.0004018351,0.0002306726],"domain_scores_gemma":[0.9982991,0.0003191513,0.0001751783,0.0003380255,0.0007374501,0.0001311458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001832232,0.00007094749,0.00009449782,0.000005058572,0.00002028965,0.00007246886,0.0004893827,0.00052322,0.0004796564,0.888025,0.0001839846,0.1100172],"study_design_scores_gemma":[0.00002595256,0.00004150036,0.0001695822,0.00004296277,0.000006438959,0.00001490232,0.0002742447,0.5054625,0.003777462,0.4897236,0.0002775728,0.0001832496],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006674938,0.00002709307,0.98962,0.003894202,0.001169709,0.00007151871,0.0002029613,0.00006889259,0.004278146],"genre_scores_gemma":[0.8307713,0.0007285443,0.1669772,0.0007554691,0.0001159812,0.00001158281,0.00005614915,0.000009005121,0.0005747975],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8301038,"threshold_uncertainty_score":0.6742777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0740804629402809,"score_gpt":0.3117591392564938,"score_spread":0.2376786763162129,"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."}}