{"id":"W1514731943","doi":"10.1007/978-3-540-74407-8_33","title":"Temporal Antecedent Failure: Refining Vacuity","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Antecedent (behavioral psychology); Computer science; Temporal logic; Model checking; Extension (predicate logic); Linear temporal logic; Theoretical computer science; Programming language; Algorithm","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004792265,0.001202824,0.001533092,0.001883647,0.002565699,0.003366465,0.0050246,0.002713681,0.02199046],"category_scores_gemma":[0.02050078,0.001736399,0.002894769,0.001698516,0.006004762,0.01166337,0.007340998,0.005942962,0.003912247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001717966,"about_ca_system_score_gemma":0.002382807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003255602,"about_ca_topic_score_gemma":0.003780891,"domain_scores_codex":[0.9964634,0.0007828071,0.0002479245,0.0007824936,0.001136829,0.0005866022],"domain_scores_gemma":[0.9879103,0.005888676,0.0003175435,0.003943986,0.001679885,0.000259712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002737791,0.00008468964,0.000658216,0.0004826706,0.00003593972,0.0008594228,0.001412346,0.007291992,0.00474682,0.899152,0.01057326,0.07442884],"study_design_scores_gemma":[0.00007415062,0.00004151903,0.0002130386,0.0002071545,0.0001452558,0.0005038593,0.0004576037,0.03763928,0.012385,0.9136162,0.03465269,0.00006422295],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03494305,0.0005170915,0.869715,0.001943983,0.0007634467,0.0002754575,0.0005168893,0.005450229,0.08587483],"genre_scores_gemma":[0.5588183,0.0008626474,0.3918571,0.0009564885,0.0005478116,0.0002035886,0.001112784,0.004249569,0.04139174],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02199046,"threshold_uncertainty_score":0.07356536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05001429136310787,"score_gpt":0.3104683291280238,"score_spread":0.2604540377649159,"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."}}