{"id":"W2303140169","doi":"","title":"Proceedings of the Eighth International Workshop on the ACL2 Theorem Prover and its Applications","year":2009,"lang":"en","type":"article","venue":"","topic":"Logic, programming, and type systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Automated theorem proving; Computer science; Calculus (dental); Programming language","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":[0.02332922,0.002141281,0.003203808,0.003689665,0.003223135,0.01343598,0.005510568,0.003408153,0.05301473],"category_scores_gemma":[0.02994798,0.002112372,0.002864713,0.002829171,0.003665752,0.01171627,0.008205276,0.009622004,0.01541659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003344459,"about_ca_system_score_gemma":0.005366693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00452113,"about_ca_topic_score_gemma":0.005093749,"domain_scores_codex":[0.98674,0.007141123,0.0009645763,0.001385803,0.003113065,0.0006554853],"domain_scores_gemma":[0.9684702,0.01859177,0.0003233277,0.005664103,0.005676183,0.001274367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009364944,0.0006391016,0.0008978779,0.0007851517,0.0001829943,0.00045243,0.0009519077,0.003873257,0.003855778,0.1562681,0.5158507,0.3153061],"study_design_scores_gemma":[0.000454736,0.0001826593,0.0007790084,0.0005335325,0.0002142614,0.0009443926,0.0003910393,0.05458259,0.01376517,0.2782507,0.6497384,0.0001635293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.005393931,0.00744414,0.8832189,0.01530394,0.01340802,0.0004311746,0.001762907,0.01186636,0.06117058],"genre_scores_gemma":[0.07334245,0.008973291,0.7828361,0.008295025,0.01144158,0.0007838269,0.01143746,0.01127235,0.09161793],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05301473,"threshold_uncertainty_score":0.177352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01820518563496108,"score_gpt":0.2424962885657105,"score_spread":0.2242911029307494,"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."}}