{"id":"W3117449497","doi":"10.1109/uemcon51285.2020.9298169","title":"On the Development of Tools for Modelling Dynamic Beliefs Based on Past Data","year":2020,"lang":"en","type":"article","venue":"","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Computer science; Belief revision; Operator (biology); Process (computing); Representation (politics); Point (geometry); Component (thermodynamics); Software agent; Order (exchange); Software; Artificial intelligence; Data science; Machine learning","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":[0.01128036,0.001807851,0.00198832,0.005544499,0.00123788,0.005838228,0.00584953,0.002590389,0.006609767],"category_scores_gemma":[0.05495887,0.002005918,0.004821311,0.004487948,0.003762299,0.01155434,0.003365653,0.00648473,0.001857207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002722795,"about_ca_system_score_gemma":0.002653549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01408852,"about_ca_topic_score_gemma":0.01726978,"domain_scores_codex":[0.9954673,0.0017272,0.0006376609,0.0006735282,0.00124651,0.0002478543],"domain_scores_gemma":[0.9496341,0.03847072,0.003626747,0.00443315,0.003191653,0.0006435283],"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":[0.0001448854,0.0002798269,0.003594524,0.0007261147,0.0002717915,0.0005156679,0.00170787,0.3998486,0.001630052,0.468112,0.003811959,0.1193567],"study_design_scores_gemma":[0.00002749193,0.00003693526,0.0003154395,0.0001549599,0.00004140049,0.00008181881,0.0001197329,0.7783922,0.0008994525,0.2130174,0.006852866,0.00006023633],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001304172,0.0001773216,0.9962262,0.0002665904,0.00002362177,0.00006439809,0.0001901533,0.0007810673,0.0009665731],"genre_scores_gemma":[0.07371698,0.0007005659,0.9223225,0.0002269256,0.00009140439,0.0004484642,0.0008888555,0.0002462725,0.001358032],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01408852,"threshold_uncertainty_score":0.05965692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1331272165015465,"score_gpt":0.2780406429242385,"score_spread":0.144913426422692,"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."}}