{"id":"W3015694352","doi":"10.3989/loquens.2019.062","title":"Rule Interaction Conversion Operations","year":2019,"lang":"en","type":"article","venue":"Loquens","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Pairwise comparison; Set (abstract data type); Computer science; Theoretical computer science; Mathematics; Artificial intelligence; Programming language","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":[0.00006233143,0.00005228108,0.00005323095,0.00005437499,0.00004818269,0.0001094135,0.0003070426,0.00003713072,0.00008912959],"category_scores_gemma":[0.00001574791,0.00004518853,0.00002222053,0.0001271331,0.000008123317,0.0006624964,0.0001095732,0.0001049812,0.0005437582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004044674,"about_ca_system_score_gemma":0.00002132969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004756568,"about_ca_topic_score_gemma":0.000005018685,"domain_scores_codex":[0.9995631,0.00001778392,0.00007104946,0.0001628277,0.00009252003,0.00009271054],"domain_scores_gemma":[0.999619,0.00001760775,0.00001942795,0.0002653703,0.00005341656,0.00002516289],"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":[0.00001777008,0.0001618885,0.006440607,0.00008616982,0.00003165799,0.00004774637,0.003020531,0.000318522,0.3419159,0.565674,0.01357038,0.06871483],"study_design_scores_gemma":[0.0005910578,0.0002100577,0.001149861,0.0001609588,0.000009390781,0.000124265,0.0001246816,0.1548374,0.7772712,0.03095493,0.03392226,0.0006439317],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2295373,0.0003667475,0.7550128,0.002825298,0.001263552,0.0002924418,0.000001339623,0.001415295,0.009285173],"genre_scores_gemma":[0.7963643,0.000003295293,0.2018646,0.0005058728,0.00002320562,0.000003149703,0.000003168566,0.000003488612,0.001228908],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5668269,"threshold_uncertainty_score":0.6989093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00879885792406336,"score_gpt":0.2665784381186992,"score_spread":0.2577795801946359,"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."}}