{"id":"W4385519566","doi":"10.1613/jair.1.14394","title":"Program Synthesis with Best-First Bottom-Up Search","year":2023,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Research","topic":"Software Engineering Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alliance de recherche numérique du Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Computer science; Search cost; Search algorithm; Beam search; Function (biology); Best-first search; String (physics); Theoretical computer science; Algorithm; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006136002,0.001233857,0.000889026,0.001183453,0.0004966183,0.0009818607,0.001190945,0.001109741,0.004301369],"category_scores_gemma":[0.002520327,0.0005867656,0.0008889972,0.0008367196,0.0007649879,0.001220912,0.00121542,0.001110486,0.0007690577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009377933,"about_ca_system_score_gemma":0.001800865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002996275,"about_ca_topic_score_gemma":0.004430018,"domain_scores_codex":[0.9994841,0.0001215089,0.00003269644,0.00009722722,0.000191421,0.00007307708],"domain_scores_gemma":[0.9990062,0.0006047873,0.00006710285,0.0001475811,0.0001428609,0.00003154148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002048812,0.0001674588,0.001029183,0.0002549315,0.0000795517,0.0001307884,0.0001249861,0.6757419,0.01409932,0.0234847,0.00393197,0.2807503],"study_design_scores_gemma":[0.00002879511,0.00006372988,0.00007902101,0.00001508996,0.00002351148,0.00002886462,0.00001807049,0.9852875,0.003142524,0.009830588,0.001472959,0.000009242136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03260107,0.000440399,0.9577149,0.0001730402,0.00004189783,0.00013493,0.0001173613,0.002988402,0.005788141],"genre_scores_gemma":[0.3452082,0.0002525775,0.6488467,0.0002830653,0.00002167132,0.0003593574,0.0004395483,0.0007520829,0.003836736],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004301369,"threshold_uncertainty_score":0.01438951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1789173295400187,"score_gpt":0.4215244089406741,"score_spread":0.2426070794006554,"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."}}