{"id":"W2069313594","doi":"10.2200/s00065ed1v01y200709dcs012","title":"Multiple Valued Logic: Concepts and Representations","year":2007,"lang":"en","type":"article","venue":"Synthesis lectures on digital circuits and systems","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":136,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; 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":[0.0006556797,0.0001529444,0.000204079,0.0001261528,0.0001812566,0.0006849297,0.0002686944,0.00008856968,0.000001584087],"category_scores_gemma":[0.001302108,0.000121644,0.00003826972,0.0001911233,0.000103322,0.0005282338,0.00006117662,0.00009283998,0.00001040315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002878244,"about_ca_system_score_gemma":0.00001524207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002707697,"about_ca_topic_score_gemma":0.000003823847,"domain_scores_codex":[0.9986507,0.00009921002,0.0002940173,0.0004299688,0.0002710892,0.000254956],"domain_scores_gemma":[0.9982613,0.001013688,0.0001231845,0.0004077639,0.0000663786,0.0001276404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002409022,0.0001087623,0.007494792,0.0001188916,0.00007171315,0.00002639124,0.002028891,0.0002688194,0.003261712,0.4771645,0.0003151572,0.5091163],"study_design_scores_gemma":[0.003760937,0.001854989,0.5568769,0.001239975,0.0001346578,0.001761345,0.004725691,0.2362912,0.1060162,0.04667335,0.03574336,0.00492147],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09340715,0.0009792208,0.8700375,0.0001011343,0.0005817263,0.0005393521,0.00002225131,0.0002340852,0.03409758],"genre_scores_gemma":[0.997175,0.000009920574,0.002484066,0.00009341085,0.00006912043,0.0000243073,0.000001839915,0.000009978236,0.0001323828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9037678,"threshold_uncertainty_score":0.6604793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04580731866763565,"score_gpt":0.3125782211352746,"score_spread":0.266770902467639,"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."}}