{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002480288,0.001177645,0.0006805362,0.002086435,0.001291459,0.003787162,0.002244149,0.001241166,0.02069049],"category_scores_gemma":[0.009693844,0.0007897132,0.001690143,0.001357863,0.002972735,0.004910459,0.003354804,0.003174004,0.00561607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001006728,"about_ca_system_score_gemma":0.001080205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001031779,"about_ca_topic_score_gemma":0.001155578,"domain_scores_codex":[0.9961929,0.0008222903,0.0005152808,0.0008735106,0.001240174,0.0003557623],"domain_scores_gemma":[0.9945496,0.002299818,0.000256594,0.001987745,0.0007770073,0.000129241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002640059,0.0002131378,0.001572607,0.0003916577,0.00007634115,0.001228337,0.001585188,0.003477924,0.0219468,0.7551166,0.01177334,0.202354],"study_design_scores_gemma":[0.0001001109,0.000165724,0.001675016,0.0002080374,0.0001628145,0.00276148,0.0008079204,0.04094279,0.0523553,0.6419684,0.2586294,0.0002229397],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03363642,0.0006088366,0.8398463,0.0005904151,0.0007589086,0.0008278323,0.001634898,0.01267239,0.109424],"genre_scores_gemma":[0.3625823,0.0006124856,0.5948994,0.0008340686,0.0003389453,0.001317645,0.002576881,0.002554533,0.03428378],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02069049,"threshold_uncertainty_score":0.06921661,"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."}}