{"id":"W3208404890","doi":"","title":"Fixpoint Characterizations of Disjunctive Hybrid MKNF Knowledge Bases.","year":2021,"lang":"en","type":"article","venue":"International Conference on Lightning Protection","topic":"Logic, Reasoning, and Knowledge","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Mathematics","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":[0.0001918883,0.0001670977,0.0001843549,0.0002033151,0.0001467797,0.000177346,0.0004943405,0.0000615582,0.0002517116],"category_scores_gemma":[0.0003174941,0.000156705,0.0001054539,0.0003206716,0.00004991323,0.0005057901,0.0002070362,0.0002235305,0.0001483167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001228611,"about_ca_system_score_gemma":0.0002713048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002304907,"about_ca_topic_score_gemma":0.00001705102,"domain_scores_codex":[0.9986145,0.0001227762,0.0003124232,0.0004684066,0.0003043875,0.0001774591],"domain_scores_gemma":[0.9982401,0.00006194363,0.0002321337,0.0003333986,0.001062666,0.00006982855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003975845,0.0004832152,0.0002693308,0.00003054477,0.00009199256,0.00002386485,0.001404369,0.00004816413,0.06871747,0.877893,0.0002236064,0.05077468],"study_design_scores_gemma":[0.001100373,0.000492506,0.009064684,0.0006175613,0.00002296095,0.0001413236,0.0001711224,0.148325,0.7936329,0.02580673,0.0199987,0.0006262112],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03353706,0.0000482394,0.8448436,0.002515209,0.002853798,0.0002896567,0.00002098162,0.0002157761,0.1156757],"genre_scores_gemma":[0.994734,0.0000270128,0.001888917,0.00007691484,0.0002176396,0.00008569617,0.00003605537,0.00001020886,0.002923513],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.961197,"threshold_uncertainty_score":0.6390246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05336291999267006,"score_gpt":0.2824708897480868,"score_spread":0.2291079697554168,"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."}}