{"id":"W4244470190","doi":"10.1007/3-540-45139-0_3","title":"Model-checking in finite state-space systems with fine-grained abstractions using SPIN","year":2001,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Model checking; Computer science; Abstraction model checking; Finite-state machine; Automaton; Finite state; Class (philosophy); State (computer science); State space; Theoretical computer science; Temporal logic; Transition system; Algorithm; Programming language; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001561638,0.0005901129,0.0005903408,0.001462099,0.0002730691,0.000736866,0.002306489,0.0003098068,0.000004384363],"category_scores_gemma":[0.0001337777,0.0005394542,0.0000803262,0.001265449,0.0004773897,0.00132859,0.0005737419,0.001163337,0.00001406221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008004372,"about_ca_system_score_gemma":0.0007981358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002108806,"about_ca_topic_score_gemma":0.0003429874,"domain_scores_codex":[0.9957666,0.00007254153,0.0007512377,0.00153981,0.001054516,0.0008152481],"domain_scores_gemma":[0.9970317,0.0003932947,0.0005725293,0.001544064,0.0002963261,0.0001620616],"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":[0.000008815648,0.00002082964,0.00004783909,0.00004146861,0.000005611464,0.0001099011,0.0006245235,0.9451845,0.000142332,0.01253377,0.000001345915,0.04127906],"study_design_scores_gemma":[0.0002461618,0.00009532565,0.00007546329,0.0007394354,0.000006194081,0.000175701,5.476717e-7,0.9768949,0.0003157215,0.02064047,0.0001919986,0.000618147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007860135,0.0002014667,0.9948273,0.0001657736,0.001081118,0.0006038395,0.00000602655,0.0001715612,0.00215687],"genre_scores_gemma":[0.1451075,0.00002680842,0.8542624,0.0001388792,0.00014601,0.00001632075,0.000003483071,0.0000436172,0.0002549528],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1443215,"threshold_uncertainty_score":0.9997057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05809922122577876,"score_gpt":0.3018569842492009,"score_spread":0.2437577630234221,"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."}}