{"id":"W1999720320","doi":"10.1109/tsmcb.2002.979953","title":"Editorial advances on uncertain reasoning in intelligent systems","year":2002,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Cognitive science; Artificial intelligence; Psychology","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":[0.00405832,0.002070821,0.002372719,0.003516783,0.001578315,0.004437025,0.002068447,0.006429899,0.01914473],"category_scores_gemma":[0.01898045,0.0006398649,0.001518804,0.001435262,0.002025218,0.004122337,0.001086729,0.009676054,0.006132753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001107058,"about_ca_system_score_gemma":0.0007203038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004564917,"about_ca_topic_score_gemma":0.001036255,"domain_scores_codex":[0.9976948,0.0004579357,0.0002967262,0.0003086341,0.001090178,0.0001516852],"domain_scores_gemma":[0.9771985,0.0137017,0.0009090175,0.0005285617,0.006230697,0.001431618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006342428,0.00001539453,0.00003645796,0.0005104193,0.00002915869,0.0001274735,0.00001635916,0.00007892436,0.00007041831,0.002215764,0.9816716,0.01516449],"study_design_scores_gemma":[0.000054309,0.00003303782,0.0002121388,0.0003714457,0.0000646515,0.0002139178,0.00002213796,0.0003648945,0.0001225157,0.004829546,0.9936946,0.00001675315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0000674483,0.01804425,0.0007056257,0.04336345,0.9348994,0.00001148171,0.00007252859,0.00004034172,0.002795476],"genre_scores_gemma":[0.001176669,0.007794201,0.000247756,0.009066003,0.976756,0.0000120498,0.0000254059,0.00002511484,0.004896749],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01914473,"threshold_uncertainty_score":0.06404543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02320095614078178,"score_gpt":0.2412142747055978,"score_spread":0.218013318564816,"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."}}