{"id":"W1503780205","doi":"10.1007/978-3-540-45069-6_21","title":"TLQSolver: A Temporal Logic Query Checker","year":2003,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Temporal logic; Computer science; Model checking; A priori and a posteriori; Query optimization; Theoretical computer science; Symbol (formal); Mathematics; Programming language; Algorithm; Information retrieval; Philosophy; Epistemology","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":[0.002153133,0.0006671693,0.0006253303,0.0008960612,0.0002825393,0.0005828478,0.00435538,0.0005395879,0.00004639099],"category_scores_gemma":[0.0002426708,0.0006102736,0.0001924609,0.0009245564,0.0009284785,0.00106362,0.001133055,0.001143422,0.0001483749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005031488,"about_ca_system_score_gemma":0.0005838764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002104547,"about_ca_topic_score_gemma":0.00002254175,"domain_scores_codex":[0.9951354,0.0001044707,0.000728931,0.001939165,0.001231333,0.0008607398],"domain_scores_gemma":[0.9964427,0.0002098974,0.000462804,0.002362929,0.0002958957,0.0002257263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000009108877,0.00006569499,0.0001471014,0.00007335678,0.00001759895,0.0001369648,0.0006872838,0.006507562,0.0001712484,0.4599443,0.0002135178,0.5320262],"study_design_scores_gemma":[0.0003707166,0.0003000333,0.0001934409,0.0003448815,0.0000121393,0.0002599362,2.071846e-7,0.4625557,0.003363779,0.5099224,0.02116973,0.001506999],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00002175987,0.0005206068,0.9827241,0.0005881402,0.003361799,0.0004621158,0.000003239073,0.000257396,0.01206079],"genre_scores_gemma":[0.005017511,0.00004712141,0.989687,0.004099805,0.0003079744,0.00001571616,0.000004847574,0.00003977708,0.0007802388],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5305192,"threshold_uncertainty_score":0.9996349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03690787378251955,"score_gpt":0.2839133925866695,"score_spread":0.24700551880415,"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."}}