{"id":"W2144283734","doi":"10.1609/socs.v2i1.18207","title":"Probably Approximately Correct Heuristic Search","year":2021,"lang":"en","type":"article","venue":"Proceedings of the International Symposium on Combinatorial Search","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Israel Science Foundation","keywords":"Generalization; Heuristic; Beam search; Incremental heuristic search; Task (project management); Bidirectional search; Search algorithm; Computer science; Best-first search; Quality (philosophy); Algorithm; Sequence (biology); Beam stack search; Mathematical optimization; Theoretical computer science; Mathematics; Artificial intelligence","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":[0.001045084,0.0001761166,0.0002095398,0.00009155805,0.0002231463,0.0004443042,0.002591793,0.00007927311,0.00003656234],"category_scores_gemma":[0.0004302617,0.0001379561,0.0001506101,0.0006274706,0.0001085656,0.0002627013,0.001247676,0.0005873253,0.00004617083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001600856,"about_ca_system_score_gemma":0.0001805431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008105225,"about_ca_topic_score_gemma":5.450842e-7,"domain_scores_codex":[0.9971054,0.00005723687,0.000316704,0.0005236167,0.001649545,0.000347493],"domain_scores_gemma":[0.9980793,0.0002183658,0.0001245553,0.0002565246,0.001215098,0.0001061612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000851444,0.0005578538,0.00387567,0.0000912164,0.00008743494,0.00001002468,0.0005791081,0.0003845278,0.04536201,0.941925,0.002091677,0.004950359],"study_design_scores_gemma":[0.002654161,0.0005566411,0.002902747,0.000455074,0.00002278683,0.0001928176,0.0001626656,0.1229858,0.8044645,0.04860764,0.0163415,0.0006536217],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.711372,0.0000945615,0.00389943,0.04705405,0.02359718,0.001012054,0.000025313,0.0004873348,0.2124581],"genre_scores_gemma":[0.9953901,0.00001762914,0.001652662,0.0001625489,0.0004624127,0.00001956534,0.000003309964,0.00001935738,0.002272393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8933173,"threshold_uncertainty_score":0.5625688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01421099653445188,"score_gpt":0.2573462545962829,"score_spread":0.243135258061831,"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."}}