{"id":"W2143436670","doi":"10.1109/time.1996.555700","title":"Irrelevance in uncertain temporal reasoning","year":2002,"lang":"en","type":"article","venue":"","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Probabilistic logic; Relevance (law); Computer science; Markov chain; Representation (politics); Bayesian probability; Artificial intelligence; Event (particle physics); Probabilistic relevance model; Phenomenon; Knowledge representation and reasoning; Markov process; Machine learning; Theoretical computer science; Probabilistic analysis of algorithms; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01279388,0.0006606156,0.001378148,0.002386755,0.002037202,0.003736819,0.002016686,0.00157071,0.00176716],"category_scores_gemma":[0.07066467,0.001132824,0.001416626,0.002176455,0.007191898,0.01018793,0.004508168,0.00335175,0.0002142114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003083669,"about_ca_system_score_gemma":0.001398654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004114309,"about_ca_topic_score_gemma":0.002317504,"domain_scores_codex":[0.9886657,0.004893897,0.0009363663,0.001870653,0.003022846,0.0006105493],"domain_scores_gemma":[0.9505138,0.03685108,0.004624462,0.004036252,0.002974361,0.001000079],"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":[0.0004393489,0.00006634296,0.003491519,0.000568564,0.0001540994,0.0009136258,0.003575702,0.131848,0.003131133,0.7764909,0.0008703514,0.07845036],"study_design_scores_gemma":[0.00001465072,0.00004053263,0.0005263643,0.0000452,0.00004084816,0.0001773862,0.0001207846,0.158362,0.001211422,0.8377112,0.00172011,0.00002944927],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1318812,0.004575941,0.8451707,0.002544991,0.000103208,0.00008815925,0.000128023,0.000536059,0.01497181],"genre_scores_gemma":[0.9443474,0.0007661664,0.05310599,0.0001274379,0.00009129171,0.00005898887,0.00008224514,0.0000606396,0.00135977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01279388,"threshold_uncertainty_score":0.06766135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02774491118736208,"score_gpt":0.2387862044132159,"score_spread":0.2110412932258538,"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."}}