{"id":"W4396892922","doi":"10.1145/3651613","title":"A faster FPRAS for #NFA","year":2024,"lang":"en","type":"article","venue":"Proceedings of the ACM on Management of Data","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Universitas Brawijaya","keywords":"Computer science","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":[0.00475499,0.001817694,0.002363025,0.00114747,0.001495342,0.003813324,0.004470988,0.003228385,0.008695833],"category_scores_gemma":[0.02341166,0.001183536,0.004366961,0.001541751,0.002535764,0.01068981,0.004179268,0.005557718,0.003308073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004072524,"about_ca_system_score_gemma":0.005823125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005625187,"about_ca_topic_score_gemma":0.005871987,"domain_scores_codex":[0.9906036,0.002252907,0.0006271108,0.002693163,0.002598427,0.001224782],"domain_scores_gemma":[0.9754719,0.01080831,0.001232892,0.01064884,0.00128836,0.0005498411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003399998,0.0009794749,0.005673829,0.001445047,0.0004606624,0.0003804668,0.001115238,0.1399591,0.05690054,0.26307,0.02673006,0.4998856],"study_design_scores_gemma":[0.0003419158,0.0003755117,0.000743587,0.0001450022,0.0002295195,0.0004878261,0.0002050307,0.7627742,0.02536229,0.1881727,0.02104154,0.0001209571],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04686186,0.000915658,0.9237599,0.002667821,0.0002629349,0.0003441986,0.0007330354,0.01836523,0.006089339],"genre_scores_gemma":[0.2540558,0.0002965858,0.7367905,0.00117706,0.0001579661,0.0005562076,0.00117891,0.001000773,0.004786175],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008695833,"threshold_uncertainty_score":0.02954835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05590839665298635,"score_gpt":0.3236092414076727,"score_spread":0.2677008447546864,"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."}}