{"id":"W4246220219","doi":"10.1007/978-0-387-39940-9_5012","title":"Approximate Reasoning","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Psychology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007882016,0.0006473067,0.001036277,0.0003273363,0.0001336255,0.0001356083,0.001952552,0.0003814221,0.00006157233],"category_scores_gemma":[0.0001290451,0.0005784358,0.0002651745,0.0001261607,0.00009701434,0.0006022257,0.000639944,0.0005351609,0.0004033453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009748469,"about_ca_system_score_gemma":0.0003050579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008650497,"about_ca_topic_score_gemma":0.00001379791,"domain_scores_codex":[0.9965988,0.00008030296,0.000945207,0.001056357,0.0007768247,0.000542468],"domain_scores_gemma":[0.996074,0.0001624281,0.0009308934,0.002316611,0.0002440975,0.0002720222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006121968,0.00004327376,0.00002264384,0.0004185449,0.00007238867,0.0001503415,0.0003384415,0.000009139525,0.00001436591,0.9587908,0.02455641,0.01557746],"study_design_scores_gemma":[0.0003766339,0.0001362341,0.00001677299,0.001739154,0.00007177576,0.0001256721,0.00001786299,0.003076867,0.00002535853,0.003168091,0.9903722,0.0008733638],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00000679619,0.008456987,0.04443831,0.00002377121,0.002234377,0.0005896454,0.0002234687,0.0003191637,0.9437075],"genre_scores_gemma":[0.001147704,0.004757036,0.01864305,0.00005541103,0.001859669,0.00004375138,0.0005594583,0.0001116679,0.9728222],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9658158,"threshold_uncertainty_score":0.9996667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01589636880734299,"score_gpt":0.2306960384158603,"score_spread":0.2147996696085173,"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."}}