{"id":"W4386473763","doi":"10.1007/978-3-031-43264-4_3","title":"Qualitative Uncertainty Reasoning in AgentSpeak","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Extension (predicate logic); Scalability; Observability; Syntax; Artificial intelligence; Modalities; Programming language; Theoretical computer science; Mathematics; Applied mathematics; Database","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":[0.002645579,0.0006786932,0.0007949871,0.001208596,0.001269731,0.004056246,0.00227816,0.001281075,0.008329639],"category_scores_gemma":[0.006755691,0.0007948652,0.001144718,0.001477709,0.003233586,0.006170641,0.002862557,0.002534148,0.001266155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002342968,"about_ca_system_score_gemma":0.001139681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005268434,"about_ca_topic_score_gemma":0.004272691,"domain_scores_codex":[0.9983824,0.0006990671,0.00009610582,0.0001804915,0.0005237117,0.0001181438],"domain_scores_gemma":[0.9972014,0.002081848,0.00009604525,0.000321058,0.0002085762,0.00009103438],"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":[0.00003807788,0.00001864552,0.0000789144,0.00008680567,0.00002112968,0.00005125268,0.0001928825,0.01581046,0.0002561451,0.9567413,0.002988508,0.02371605],"study_design_scores_gemma":[0.000004676717,0.000002482365,0.00002032989,0.00002079454,0.000006416446,0.00001254319,0.00003678558,0.03373179,0.0003925496,0.9604632,0.005302856,0.00000542637],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005388409,0.001690923,0.9541038,0.001767867,0.0001346611,0.00005987483,0.0002229603,0.000813679,0.0358177],"genre_scores_gemma":[0.5029806,0.002334184,0.4684225,0.0006546337,0.0003218103,0.000290405,0.0007841866,0.0004431362,0.02376852],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008329639,"threshold_uncertainty_score":0.02786541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04367824323732099,"score_gpt":0.3175789454933935,"score_spread":0.2739007022560725,"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."}}