{"id":"W1989992186","doi":"10.1504/ijccbs.2012.045074","title":"MDG-SAT: an automated methodology for efficient safety checking","year":2012,"lang":"en","type":"article","venue":"International Journal of Critical Computer-Based Systems","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Concordia University","funders":"","keywords":"Correctness; Computer science; Model checking; Formal verification; Boolean satisfiability problem; Satisfiability modulo theories; Programming language; Theoretical computer science; Satisfiability; Automated theorem proving; Invariant (physics); Symbolic execution; Set (abstract data type); ENCODE; Mathematics; Software","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":[],"consensus_categories":[],"category_scores_codex":[0.006189682,0.0002007012,0.0004233349,0.0004118643,0.0001175277,0.000301812,0.001774241,0.0001416675,0.000005844994],"category_scores_gemma":[0.001268617,0.000178127,0.0002232106,0.0001975479,0.0001186855,0.0009104754,0.0001304724,0.0002632853,0.00001113022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002835437,"about_ca_system_score_gemma":0.0001628132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006921537,"about_ca_topic_score_gemma":2.030852e-7,"domain_scores_codex":[0.9960449,0.001180633,0.001180742,0.0002581804,0.0008847396,0.0004508569],"domain_scores_gemma":[0.9947119,0.002245291,0.0005085064,0.0003644784,0.001836895,0.000332883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003706366,0.001403263,0.0005004803,0.0002231494,0.0001873629,0.00005058472,0.001063489,0.0875141,0.005716574,0.8796012,0.0003894349,0.02297969],"study_design_scores_gemma":[0.0008065966,0.0004557426,0.00130452,0.0001509351,0.00002106216,0.0005137197,0.00003850246,0.9897662,0.003602241,0.0004827629,0.002657931,0.0001997759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01176153,0.0002004857,0.9705877,0.0008837533,0.0160839,0.0002093273,0.00001640916,0.0001902669,0.0000665926],"genre_scores_gemma":[0.5086014,4.907442e-7,0.4900326,0.000208224,0.001132907,0.00000756525,0.000004654987,0.0000104587,0.000001710917],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9022521,"threshold_uncertainty_score":0.7263808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1242519919006009,"score_gpt":0.4393031532817571,"score_spread":0.3150511613811562,"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."}}