{"id":"W2952393068","doi":"10.48550/arxiv.1302.6783","title":"Generating New Beliefs From Old","year":2013,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Knowledge base; Computer science; Belief revision; Belief structure; Limiting; Entropy (arrow of time); Base (topology); Artificial intelligence; Epistemology; Mathematics","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":[0.00774907,0.00135554,0.0008695804,0.003630682,0.0008822898,0.002911514,0.002779916,0.001226717,0.006129741],"category_scores_gemma":[0.04066173,0.001030201,0.001666845,0.001705263,0.002459758,0.008945759,0.003695551,0.003638238,0.0009488862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001393126,"about_ca_system_score_gemma":0.0009684842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001318794,"about_ca_topic_score_gemma":0.002799066,"domain_scores_codex":[0.9948762,0.002240208,0.0002236414,0.001042459,0.001426434,0.0001910518],"domain_scores_gemma":[0.9786608,0.01526923,0.001036924,0.002868169,0.001784515,0.0003803161],"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":[0.0004405702,0.0002545309,0.007945227,0.0006349858,0.0005355604,0.0006521341,0.00389981,0.06344607,0.004704428,0.6803415,0.00690122,0.2302439],"study_design_scores_gemma":[0.00008855268,0.00009170724,0.001529098,0.0002157737,0.0001718478,0.0002097365,0.0005283236,0.2558953,0.00467444,0.726818,0.009695666,0.00008152823],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02776396,0.0003185988,0.9631094,0.00138966,0.0001101295,0.0001401826,0.0004416704,0.0003784574,0.006347923],"genre_scores_gemma":[0.4732132,0.0006454073,0.5191975,0.0006427882,0.000265568,0.0004401023,0.001194112,0.0002354982,0.004165837],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00774907,"threshold_uncertainty_score":0.04098147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09657510181953814,"score_gpt":0.1872069595592946,"score_spread":0.09063185773975642,"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."}}