{"id":"W2106173323","doi":"10.1109/iccd.2002.1106750","title":"Environment synthesis for compositional model checking","year":2003,"lang":"en","type":"article","venue":"","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Verilog; Model checking; Functional verification; Runtime verification; Formal verification; Construct (python library); Intelligent verification; Programming language; High-level verification; Component (thermodynamics); Range (aeronautics); Theoretical computer science; Distributed computing; Embedded system; Software; Software system; Field-programmable gate array","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":[0.0003710951,0.0000528569,0.00005406417,0.00002672195,0.00008109755,0.00003315094,0.0002318818,0.00002469837,0.0000255216],"category_scores_gemma":[0.00005062286,0.0000496482,0.00003484617,0.0000368229,0.0000158716,0.0002165935,0.00002722535,0.00002477519,0.00002471537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000440264,"about_ca_system_score_gemma":0.00001613047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.109104e-7,"about_ca_topic_score_gemma":3.870622e-8,"domain_scores_codex":[0.9994609,0.00003276507,0.000103797,0.0001684039,0.0001187725,0.0001154108],"domain_scores_gemma":[0.999599,0.00008597433,0.00003155329,0.0002400506,0.00001264384,0.0000308092],"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":[0.000001080299,0.00002538227,0.000007862226,0.000003310078,0.000003039193,5.890997e-8,0.00004077653,0.009006144,0.003887951,0.9812418,0.00009215983,0.005690497],"study_design_scores_gemma":[0.00005190846,0.000009394543,0.00005340183,0.000002282814,0.000002101048,0.000002851784,0.000003449421,0.854744,0.1151038,0.02831928,0.00163854,0.00006893845],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007396676,0.00001007966,0.9878729,0.0001218339,0.00005826293,0.0001142991,0.000001413842,0.00004998154,0.01103156],"genre_scores_gemma":[0.1144444,0.000002353516,0.8850626,0.000147595,0.000007062185,0.00008008721,5.606723e-7,0.000003404833,0.0002519259],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9529225,"threshold_uncertainty_score":0.2024595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05305162501978016,"score_gpt":0.2786084296824045,"score_spread":0.2255568046626243,"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."}}