{"id":"W4230204930","doi":"10.4018/9781605661728.ch002.ch000","title":"A Measurement Ontology Generalizable for Emerging Domain Applications on the Semantic Web","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Ontology; Semantic Web; Computer science; Domain (mathematical analysis); OWL-S; Information retrieval; Semantic analytics; Semantic Web Stack; World Wide Web; Mathematics; Philosophy; Epistemology","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":[0.005370994,0.001008508,0.0009885154,0.005316324,0.002845758,0.006214188,0.002540217,0.002641677,0.003959185],"category_scores_gemma":[0.007737152,0.0008908228,0.002529147,0.007034811,0.003657734,0.01575074,0.004138952,0.005579246,0.002011161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003165621,"about_ca_system_score_gemma":0.006278087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01176984,"about_ca_topic_score_gemma":0.01151089,"domain_scores_codex":[0.9958678,0.0009424843,0.0007685293,0.0006302026,0.001570796,0.0002202159],"domain_scores_gemma":[0.9967043,0.001124235,0.0002638894,0.000857575,0.0008516153,0.0001984608],"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":[0.00001025106,0.00004280809,0.0004092488,0.0001897972,0.00002297343,0.0001960388,0.0008065382,0.002442684,0.001299257,0.9414842,0.009851145,0.043245],"study_design_scores_gemma":[0.00001205662,0.00001346408,0.0006613701,0.0003513225,0.00003618647,0.0005275538,0.000623319,0.0253158,0.001938136,0.4752834,0.4951788,0.00005860898],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001957051,0.0005428256,0.9668326,0.00220294,0.000323343,0.0003991685,0.0009929099,0.001633345,0.02511579],"genre_scores_gemma":[0.04068909,0.002045005,0.9405159,0.001135307,0.0002175839,0.0008997083,0.003310964,0.0008814333,0.01030499],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01176984,"threshold_uncertainty_score":0.02840483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05843971178974517,"score_gpt":0.2591713448286999,"score_spread":0.2007316330389547,"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."}}