{"id":"W2170520620","doi":"10.1109/time.1997.600779","title":"Bidirectional inference in probabilistic temporal reasoning","year":2002,"lang":"en","type":"article","venue":"","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Wilfrid Laurier University","funders":"","keywords":"Probabilistic logic; Computer science; Belief propagation; Interleaving; Inference; Projection (relational algebra); Artificial intelligence; Causal reasoning; Probabilistic logic network; Causal structure; Probabilistic argumentation; Theoretical computer science; Algorithm; Multimodal logic; Cognition; Decoding methods; Description logic","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":[0.0002168804,0.0001059171,0.0001199953,0.0001059136,0.00007332384,0.0001083966,0.0004252959,0.00005187763,0.000339909],"category_scores_gemma":[0.0004243685,0.0000868053,0.00003574347,0.0005122122,0.00003763003,0.0003521185,0.0001389487,0.0001289474,0.0003395856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006221297,"about_ca_system_score_gemma":0.0000376465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001340388,"about_ca_topic_score_gemma":0.0002731298,"domain_scores_codex":[0.9990153,0.00005159256,0.0001738959,0.0003385919,0.0001655632,0.0002550443],"domain_scores_gemma":[0.9993938,0.0001612187,0.00004121405,0.0002723491,0.00005654913,0.00007488818],"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":[0.000002591025,0.0003197185,0.1489446,0.00001812472,0.000007318465,0.00004175465,0.001606236,0.0003076392,0.00005955078,0.8110304,0.003282072,0.03437995],"study_design_scores_gemma":[0.0006215809,0.0001407049,0.05694995,0.00007052421,0.000002889757,0.0000435341,0.00003261342,0.9021226,0.0002138107,0.02713684,0.01216779,0.0004972087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07886363,0.0005791078,0.2819628,0.0008366494,0.0009488402,0.0003419561,8.692356e-7,0.0008352663,0.6356309],"genre_scores_gemma":[0.9762355,0.0000107362,0.01866358,0.0000886187,0.00005779448,0.00001793516,6.823072e-7,0.000004039333,0.004921088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9018149,"threshold_uncertainty_score":0.4364799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03256636259289956,"score_gpt":0.2521733287481588,"score_spread":0.2196069661552592,"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."}}