{"id":"W4256279658","doi":"10.4018/978-1-4666-2476-4.ch013","title":"Semantic Manipulations and Formal Ontology for Machine Learning based on Concept Algebra","year":2012,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Process calculus; Ontology; Denotational semantics; Artificial intelligence; Semantics (computer science); Knowledge representation and reasoning; Theoretical computer science; Operational semantics; 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":[0.002834371,0.0007910275,0.0008514703,0.002080932,0.001589908,0.004881987,0.001877818,0.001308062,0.004772191],"category_scores_gemma":[0.003292781,0.0005184591,0.001840224,0.002494531,0.008294269,0.01460153,0.002797225,0.004778813,0.001495041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002770582,"about_ca_system_score_gemma":0.002155476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001454462,"about_ca_topic_score_gemma":0.001013455,"domain_scores_codex":[0.9981734,0.0006962881,0.0001731327,0.0002389784,0.0006340271,0.00008427284],"domain_scores_gemma":[0.9989572,0.0005602366,0.000073122,0.0002209985,0.0001303462,0.00005810683],"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":[0.000001416224,0.000003314477,0.00001106461,0.00002612105,0.000002494189,0.0000129353,0.00009835509,0.0004204223,0.0001251475,0.9941403,0.0005309655,0.004627428],"study_design_scores_gemma":[0.000002632634,0.000003769377,0.00001935175,0.00002961881,0.000003602546,0.00005142936,0.00003288752,0.004373566,0.0001910197,0.9693821,0.02590358,0.00000641452],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002737557,0.005219278,0.936529,0.00265879,0.000489327,0.00008577522,0.00013785,0.0003712525,0.05177106],"genre_scores_gemma":[0.2000648,0.008673998,0.7627934,0.001323327,0.0009662166,0.0006710404,0.0007881857,0.0003536742,0.02436534],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004881987,"threshold_uncertainty_score":0.02010214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0260305361408668,"score_gpt":0.2522322673808424,"score_spread":0.2262017312399756,"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."}}