{"id":"W4295178125","doi":"10.48550/arxiv.1301.4608","title":"Proceedings of the Eighteenth Conference on Uncertainty in Artificial\\n Intelligence (2002)","year":2013,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Operations research; Computer science; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006393926,0.001173078,0.001857401,0.002163569,0.001638234,0.009958608,0.001987193,0.002156344,0.05784879],"category_scores_gemma":[0.01153037,0.0004520077,0.001019462,0.002174619,0.002704372,0.005109556,0.004477708,0.004454225,0.01476952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003572968,"about_ca_system_score_gemma":0.003958788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007003726,"about_ca_topic_score_gemma":0.01043387,"domain_scores_codex":[0.996291,0.00120003,0.0002119387,0.0004392038,0.001577593,0.0002803319],"domain_scores_gemma":[0.9943013,0.00161137,0.0002014659,0.0008698665,0.002072593,0.0009433841],"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":[0.0001993729,0.0001105608,0.0007307683,0.0003148893,0.00009622533,0.0001341088,0.0002881536,0.001180254,0.0004157523,0.05514237,0.7099788,0.2314088],"study_design_scores_gemma":[0.00001756771,0.00002836381,0.0007013894,0.0002473423,0.00003609734,0.0001043378,0.0001536835,0.002241295,0.0003552273,0.03323209,0.9628585,0.00002407846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006714311,0.1537136,0.1373277,0.08549955,0.1674302,0.0003664,0.002565127,0.001803334,0.4445798],"genre_scores_gemma":[0.1084289,0.09941626,0.07913918,0.007113542,0.06922579,0.0005064233,0.006070109,0.00174971,0.6283501],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05784879,"threshold_uncertainty_score":0.1935235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.106773471449522,"score_gpt":0.1985208972278513,"score_spread":0.09174742577832928,"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."}}