{"id":"W4229576726","doi":"10.1145/1273442.1250769","title":"Path invariants","year":2007,"lang":"en","type":"article","venue":"ACM SIGPLAN Notices","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Predicate abstraction; Computer science; Predicate (mathematical logic); Path (computing); Abstract interpretation; Program analysis; Theoretical computer science; Abstraction; Counterexample; Spurious relationship; Path expression; Programming language; Control flow; Invariant (physics); Control flow graph; Algorithm; Model checking; Mathematics; Discrete mathematics","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":[0.001246982,0.0000876136,0.00008746413,0.00008134698,0.00008819819,0.000104859,0.001614366,0.00005873319,0.00001958121],"category_scores_gemma":[0.0007308235,0.00007862862,0.00002279486,0.0002920099,0.00003097261,0.0006943063,0.0002740879,0.0001034202,0.0002599894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002150935,"about_ca_system_score_gemma":0.00002369372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003159519,"about_ca_topic_score_gemma":0.00001273324,"domain_scores_codex":[0.9990126,0.0000539345,0.0001941603,0.0002451134,0.0002320185,0.0002621461],"domain_scores_gemma":[0.9985136,0.0003216535,0.0001077848,0.0009321974,0.00004361581,0.00008113057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003427447,0.0001320131,0.01234378,0.00006378168,0.00002839676,0.000103025,0.00338301,0.00004974196,0.007315532,0.6356798,0.002201135,0.3386655],"study_design_scores_gemma":[0.001265641,0.000570662,0.6975767,0.0001306372,0.00003573124,0.0001077818,0.0004490192,0.06420723,0.1162136,0.05512417,0.06286389,0.001454965],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07827275,0.00007626291,0.9043868,0.0002980086,0.000946864,0.0001084956,0.000001568726,0.000232413,0.01567684],"genre_scores_gemma":[0.4623894,0.000002724732,0.5371617,0.0003030533,0.00006931418,0.00000152907,0.000001374312,0.000003790068,0.00006708102],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6852329,"threshold_uncertainty_score":0.3341724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04224519862286649,"score_gpt":0.3124832385447945,"score_spread":0.2702380399219281,"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."}}