{"id":"W2767778696","doi":"10.1145/3158121","title":"A new proof rule for almost-sure termination","year":2017,"lang":"en","type":"article","venue":"Proceedings of the ACM on Programming Languages","topic":"Logic, programming, and type systems","field":"Computer Science","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Research Council; Eidgenössische Technische Hochschule Zürich; McGill University","keywords":"Soundness; Probabilistic logic; Markov chain; Connection (principal bundle); Computer science; Determinism; Mathematical proof; Mathematics; Discrete mathematics; Programming language; Statistics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006162061,0.0001929505,0.0002351683,0.00006941753,0.0005123113,0.0007789406,0.004985663,0.0001080366,0.000002131214],"category_scores_gemma":[0.002112063,0.0001268008,0.0001696085,0.0001293352,0.00008024358,0.000566653,0.000984526,0.0001332514,0.000005420522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003113512,"about_ca_system_score_gemma":0.00005259465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009536934,"about_ca_topic_score_gemma":0.00000833323,"domain_scores_codex":[0.9985889,0.000007051382,0.0002536607,0.0004125645,0.0003721852,0.0003656505],"domain_scores_gemma":[0.9978441,0.00006072948,0.0006478089,0.001095879,0.0002685917,0.00008290815],"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":[0.00002209631,0.0001002331,0.006921758,0.0002781819,0.00004125663,0.000001306442,0.002183311,3.936344e-7,0.003169478,0.128369,0.003334992,0.855578],"study_design_scores_gemma":[0.003592849,0.00205467,0.02481077,0.0004151815,0.0001706277,0.0001106123,0.0018325,0.0008959612,0.4789845,0.2904753,0.1952455,0.001411575],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6023842,0.005175082,0.1676752,0.09661971,0.01010861,0.03015058,0.00003087699,0.004444536,0.08341123],"genre_scores_gemma":[0.9274814,0.000002332826,0.06860084,0.00006920722,0.0002709918,0.0001516768,0.000001206421,0.00002033504,0.003401987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8541664,"threshold_uncertainty_score":0.9264686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387605539249461,"score_gpt":0.2929920630576812,"score_spread":0.2691160076651866,"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."}}