{"id":"W2403960194","doi":"","title":"Ranking Functions for Belief Change - A Uniform Approach to Belief Revision and Belief Progression","year":2014,"lang":"en","type":"article","venue":"International Conference on Agents and Artificial Intelligence","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Belief revision; Computer science; Belief structure; Ranking (information retrieval); Belief system; Belief propagation; Artificial intelligence; Algorithm; Epistemology; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005563537,0.0002343457,0.0002082242,0.0002124134,0.0003651045,0.0005870126,0.0006041377,0.00009656431,0.00002531275],"category_scores_gemma":[0.0001415673,0.0002017625,0.00005358006,0.0001938688,0.00008082566,0.0004247116,0.0002792047,0.0001782871,0.00003920958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003228643,"about_ca_system_score_gemma":0.00003188233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004005726,"about_ca_topic_score_gemma":0.00001281091,"domain_scores_codex":[0.9981255,0.00005214854,0.0003953824,0.0007152319,0.0004006231,0.0003111501],"domain_scores_gemma":[0.9989392,0.00009852855,0.0001291977,0.0002898327,0.0003299476,0.000213287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002970717,0.0001038966,0.0000268912,0.00001331123,0.000008408936,4.456303e-7,0.0005878252,0.00005471994,0.0001954272,0.5072051,0.00009000581,0.4916843],"study_design_scores_gemma":[0.0001066881,0.0006034321,0.0002977848,0.0003810567,0.00001100423,0.00001041533,0.0001796074,0.9100556,0.001124902,0.0774141,0.009438816,0.0003766165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008347613,0.0000387427,0.9813158,0.004183146,0.000572414,0.0005377689,0.00001812014,0.00009381541,0.004892587],"genre_scores_gemma":[0.9686216,0.0001347798,0.0291233,0.001461528,0.0002713056,0.0001371746,0.00002419429,0.00001291639,0.0002131747],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.960274,"threshold_uncertainty_score":0.8227635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1839759069134567,"score_gpt":0.3661272461310572,"score_spread":0.1821513392176005,"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."}}