{"id":"W4401694231","doi":"10.1109/isit57864.2024.10619471","title":"An Information-Theoretic Framework for Out-of-Distribution Generalization","year":2024,"lang":"en","type":"article","venue":"","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Generalization; Computer science; Theoretical computer science; Mathematics","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":[0.00007156743,0.00005447244,0.00004954329,0.00003498155,0.00002063935,0.00004835889,0.00004140577,0.00005912823,0.00005756549],"category_scores_gemma":[0.00002407807,0.00004973663,0.00002798361,0.00009624093,0.000008933866,0.0003328533,0.000002881353,0.0000378302,0.00001173189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001734054,"about_ca_system_score_gemma":0.000007159336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001774004,"about_ca_topic_score_gemma":0.000001662584,"domain_scores_codex":[0.9996824,0.000003712005,0.0001431121,0.00003937887,0.00004817655,0.00008323927],"domain_scores_gemma":[0.9998245,0.00004223515,0.000008929323,0.0000712411,0.00002920393,0.00002384772],"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":[0.000001437527,0.000002151407,0.0000175536,0.0001809786,0.00001057743,7.711886e-8,0.000456874,0.09613124,0.0002457407,0.8914778,0.001253027,0.01022261],"study_design_scores_gemma":[0.00003830755,0.00002730213,0.00001560606,0.0000746187,0.00001005506,5.641648e-7,0.000035355,0.9231938,0.009303669,0.02707966,0.04013504,0.00008601916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01007487,0.0001025981,0.9854915,0.00001730717,0.001301011,0.00005728936,0.00005324432,0.000368257,0.002533906],"genre_scores_gemma":[0.9834493,0.00002118755,0.01566733,0.0000187801,0.0001663137,0.00001329476,0.0006310405,0.00001040127,0.00002239139],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9733744,"threshold_uncertainty_score":0.2028201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009523567178132675,"score_gpt":0.2446353563880643,"score_spread":0.2351117892099316,"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."}}