{"id":"W2136791927","doi":"10.1613/jair.2486","title":"A General Theory of Additive State Space Abstractions","year":2008,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Research","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Israel Science Foundation","keywords":"Disjoint sets; Heuristics; Computer science; State (computer science); Space (punctuation); Heuristic; State space; Cube (algebra); Set (abstract data type); Theoretical computer science; Algorithm; Mathematics; Discrete mathematics; Combinatorics; Programming language; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003553945,0.00009228518,0.0002160419,0.0005382213,0.0002984925,0.00007056279,0.0008559627,0.00004627031,0.0001593986],"category_scores_gemma":[0.0007806726,0.00007450004,0.0001406391,0.0007414942,0.0003613017,0.0004179076,0.0001418988,0.001002502,0.0001041064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005784808,"about_ca_system_score_gemma":0.0004574082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000130402,"about_ca_topic_score_gemma":0.00001061241,"domain_scores_codex":[0.997286,0.000565259,0.0005886029,0.0001730534,0.001021654,0.0003654667],"domain_scores_gemma":[0.9970516,0.0009268462,0.0003040064,0.0002688285,0.001273875,0.000174836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001723589,0.0005441619,0.0002682123,0.00001589393,0.00008967794,0.0005479311,0.007541164,0.01600841,0.01023638,0.1303398,0.001402961,0.8328331],"study_design_scores_gemma":[0.0001609238,0.003119487,0.005095238,0.0002086719,0.00001492016,0.001710796,0.004335576,0.2078617,0.4306974,0.3353921,0.01090967,0.0004934971],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2723779,0.0001855546,0.724708,0.001024786,0.0003564429,0.00007800006,0.000004475707,0.00001500952,0.001249844],"genre_scores_gemma":[0.9700024,0.0004012767,0.02801303,0.00001524882,0.0003927709,0.000002032585,3.64393e-7,0.000008883191,0.001163993],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8323396,"threshold_uncertainty_score":0.4355428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1425791225320405,"score_gpt":0.4123511718843479,"score_spread":0.2697720493523074,"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."}}