{"id":"W2783514191","doi":"10.5539/cis.v11n1p65","title":"A Class Validation Proposal of a Pedagogic Domain Ontology based on Clustering Analysis","year":2018,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Benemérita Universidad Autónoma de Puebla","keywords":"Computer science; Cluster analysis; Ontology; Class (philosophy); Domain (mathematical analysis); Ontology learning; Information retrieval; Semantics (computer science); Focus (optics); Process (computing); Semantic Web; Data science; Natural language processing; Artificial intelligence; Upper ontology; Suggested Upper Merged Ontology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01658006,0.0009734283,0.000973075,0.007104171,0.003355094,0.006796882,0.003599063,0.003276794,0.004235417],"category_scores_gemma":[0.03201605,0.0006160476,0.002507073,0.003221516,0.004096683,0.006439643,0.003948395,0.002142057,0.001496315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003408878,"about_ca_system_score_gemma":0.007946041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008003796,"about_ca_topic_score_gemma":0.004806394,"domain_scores_codex":[0.983157,0.005894945,0.001451885,0.003448454,0.005211778,0.000835869],"domain_scores_gemma":[0.9768545,0.008158737,0.0009476836,0.003683238,0.009612842,0.0007430155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005729323,0.0009297734,0.01149075,0.001250841,0.0003070875,0.0007993507,0.007797161,0.01593004,0.02879033,0.4822813,0.01677454,0.4330759],"study_design_scores_gemma":[0.0002800965,0.0004931616,0.01104787,0.001735978,0.0005448337,0.001645284,0.006407749,0.3369965,0.07271937,0.3219572,0.2456851,0.0004868353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01775571,0.0001997939,0.9695276,0.001292417,0.0001508963,0.0009313474,0.0003089213,0.001328886,0.008504425],"genre_scores_gemma":[0.1463402,0.0002254237,0.8457639,0.000337944,0.00007273285,0.001114279,0.001588392,0.0004488062,0.004108303],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01658006,"threshold_uncertainty_score":0.08768481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02109544656107348,"score_gpt":0.2873328630609067,"score_spread":0.2662374164998332,"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."}}