{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009928433,0.001763904,0.002094053,0.002866668,0.001559016,0.003255776,0.004979433,0.003048842,0.003375959],"category_scores_gemma":[0.03477271,0.0008553532,0.002329994,0.003015987,0.005560319,0.01202182,0.007036426,0.007402993,0.0006138778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004286618,"about_ca_system_score_gemma":0.001443104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003188132,"about_ca_topic_score_gemma":0.0018944,"domain_scores_codex":[0.9949424,0.001951838,0.0002447561,0.001044045,0.001398309,0.0004187054],"domain_scores_gemma":[0.9758539,0.01660709,0.001730618,0.003547021,0.001619697,0.0006416308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006678058,0.00005635767,0.001180712,0.0001886839,0.000073048,0.0001973649,0.0002169474,0.160124,0.0009963671,0.8042496,0.002483651,0.03016646],"study_design_scores_gemma":[0.000007163524,0.0000411786,0.0003612704,0.00004393768,0.00001923716,0.0001175555,0.00002744096,0.4809666,0.0005876826,0.5154749,0.002324216,0.00002891532],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009886728,0.001504838,0.9816773,0.001165828,0.00009026555,0.00003558709,0.0001625084,0.0001606442,0.005316321],"genre_scores_gemma":[0.7549053,0.005146126,0.2279939,0.001922494,0.00165412,0.0004279338,0.0007974038,0.0004821297,0.006670519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009928433,"threshold_uncertainty_score":0.05250722,"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."}}