{"id":"W2275001223","doi":"10.1016/j.artint.2019.07.002","title":"The logic of qualitative probability","year":2019,"lang":"en","type":"article","venue":"Artificial Intelligence","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interpretation (philosophy); Axiom; Operator (biology); Set (abstract data type); Outcome (game theory); Possibility theory; Axiomatic system; Finite set; Set theory; Mathematics; Binary operation; Modal operator; Domain (mathematical analysis); Infinite set; Probability theory; Computer science; Discrete mathematics; Theoretical computer science; Mathematical economics; Fuzzy set; Artificial intelligence; Multimodal logic; Fuzzy logic; Description logic; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001299773,0.00008915447,0.0001239548,0.0000238945,0.0001054211,0.00008261271,0.0009549389,0.00004174868,0.00002295178],"category_scores_gemma":[0.0002231507,0.00005914584,0.00006047042,0.0003295514,0.0001825181,0.000182964,0.0001486266,0.0001281198,0.0003865133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001726521,"about_ca_system_score_gemma":0.0000751234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006396426,"about_ca_topic_score_gemma":0.00002784736,"domain_scores_codex":[0.9986873,0.0002101669,0.0003727423,0.000283165,0.000229706,0.0002169233],"domain_scores_gemma":[0.9983598,0.0006555309,0.0001167465,0.0006105814,0.0002145121,0.00004285022],"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":[0.000006782915,0.00003122419,0.00002651584,0.000005861441,0.000004144381,2.504914e-7,0.003285551,0.0004426109,0.001151365,0.9158388,0.00001447672,0.07919245],"study_design_scores_gemma":[0.000005197142,0.0001045324,0.00003291211,0.00001399258,0.000001242316,8.527236e-7,0.0007498093,0.07445993,0.03335118,0.8911176,0.00008105702,0.00008170767],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05806822,0.0001185651,0.9373118,0.001412084,0.0003269209,0.0001796453,0.000001035811,0.00005533228,0.002526343],"genre_scores_gemma":[0.9854542,0.00001768884,0.0142892,0.00009420744,0.00001516851,0.000008831568,2.709536e-7,0.000002922136,0.0001174905],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.927386,"threshold_uncertainty_score":0.4967975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1938683637179671,"score_gpt":0.3876034118537989,"score_spread":0.1937350481358317,"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."}}