{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001225331,0.0001204839,0.0001332103,0.00004411986,0.0003240757,0.00009383178,0.0004908383,0.00006223366,0.00001456782],"category_scores_gemma":[0.00003896147,0.00007520894,0.00004481491,0.000152525,0.0001863735,0.0003099621,0.00008781364,0.00003158969,0.00002829359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002062747,"about_ca_system_score_gemma":0.00003935063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000328645,"about_ca_topic_score_gemma":0.000004558766,"domain_scores_codex":[0.9991311,0.00001961203,0.0002018264,0.0003905938,0.00005557842,0.0002012648],"domain_scores_gemma":[0.9984123,0.0007036864,0.0001261327,0.000506672,0.000176179,0.00007507152],"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":[0.000001054361,0.00002924268,0.0002818914,0.000005789413,0.00001414868,2.898392e-8,0.0001020821,0.00000132489,0.003048466,0.924855,0.0009570923,0.07070387],"study_design_scores_gemma":[0.0005781103,0.00007381375,0.01829244,0.00001170454,0.00002002524,0.00001755999,0.0001894852,0.001187105,0.005025142,0.7894028,0.1849024,0.0002993836],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001111564,0.0006226217,0.9772951,0.01952205,0.00003565592,0.0005972073,0.0001894933,0.0001855073,0.000440774],"genre_scores_gemma":[0.9860233,0.00009366209,0.01164876,0.0006506217,0.0001017886,0.001210236,0.00007171748,0.000007053841,0.0001928761],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9849117,"threshold_uncertainty_score":0.3066932,"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."}}