{"id":"W579342806","doi":"","title":"Uncertainty in artificial intelligence : proceedings of the Twenty-fifth Conference (2009) : June 18-21, 2009, Montreal, Quebec","year":2009,"lang":"en","type":"book","venue":"AUAI Press eBooks","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Library science; History; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007417794,0.0006121783,0.0007524105,0.0002430555,0.0001960303,0.0003655386,0.003092327,0.0005236247,0.00002094687],"category_scores_gemma":[0.00009628975,0.000497771,0.0002175777,0.0001302847,0.0002945167,0.0002429692,0.0005917232,0.001204723,0.00001230048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002023632,"about_ca_system_score_gemma":0.001122131,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009955993,"about_ca_topic_score_gemma":0.006186762,"domain_scores_codex":[0.9963573,0.00008912686,0.00103874,0.001000048,0.0007696584,0.0007451378],"domain_scores_gemma":[0.9974067,0.0002614596,0.0008946683,0.0008586611,0.0004192859,0.0001592476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001567408,0.0002121247,0.00006081687,0.0005957319,0.0001280917,0.00006991463,0.01557389,0.004789663,0.0002321833,0.4360755,0.1594743,0.3826309],"study_design_scores_gemma":[0.0006835921,0.0005913298,0.0005638245,0.009423705,0.0002309365,0.0000572818,0.0001742383,0.0866356,0.007052142,0.3902079,0.5011716,0.003207752],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007816462,0.001615822,0.01337138,0.0005927162,0.001148046,0.002036176,0.0001103989,0.0004286518,0.9799151],"genre_scores_gemma":[0.03590555,0.00007094316,0.002208869,0.0004497917,0.0003063668,0.00009113742,0.00002487183,0.00006418001,0.9608783],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3794232,"threshold_uncertainty_score":0.9997474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04057581957851757,"score_gpt":0.251231851612682,"score_spread":0.2106560320341644,"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."}}