{"id":"W2574906829","doi":"","title":"CAISL: Simplification Logic for Conditional Attribute Implications.","year":2016,"lang":"en","type":"article","venue":"Concept Lattices and their Applications","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Computer science","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":[0.003124969,0.0008816473,0.001083587,0.003356449,0.00213411,0.004798395,0.00409224,0.001320656,0.02135371],"category_scores_gemma":[0.01222384,0.001098394,0.002129108,0.004234854,0.003124483,0.01246303,0.005569983,0.005218806,0.00553094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002363082,"about_ca_system_score_gemma":0.003231978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00524351,"about_ca_topic_score_gemma":0.007735768,"domain_scores_codex":[0.9967875,0.0008346285,0.0003082285,0.0004437327,0.001406124,0.000219795],"domain_scores_gemma":[0.9948469,0.002893438,0.0002491952,0.0008070298,0.001025356,0.0001780906],"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":[0.0001431246,0.00009066681,0.0003625154,0.000484917,0.00007227265,0.0003083267,0.0003565499,0.007647709,0.001451286,0.8134782,0.05155202,0.1240525],"study_design_scores_gemma":[0.00005488422,0.00001801615,0.0001444475,0.00009642333,0.00005435038,0.0002650121,0.0001438731,0.03202139,0.00350474,0.9009984,0.06265544,0.00004311443],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00463679,0.00112022,0.9415631,0.00171488,0.0003688471,0.0002717621,0.003159183,0.01025476,0.03691037],"genre_scores_gemma":[0.1813389,0.001650312,0.7810872,0.001899777,0.0005960561,0.000536082,0.008887818,0.002100795,0.02190302],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02135371,"threshold_uncertainty_score":0.07143521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03972981695629477,"score_gpt":0.2862703425070656,"score_spread":0.2465405255507708,"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."}}