{"id":"W2343654652","doi":"","title":"City Knowledge Patterns: A Standard for Smart City Knowledge Management","year":2014,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Smart city; Knowledge management; Computer science; Knowledge extraction; Knowledge engineering; Knowledge-based systems; Open Knowledge Base Connectivity; Personal knowledge management; Set (abstract data type); Data science; Organizational learning; Data mining; Computer security","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":[0.01030262,0.001200557,0.001396592,0.008700388,0.002909809,0.008936864,0.003436194,0.004153572,0.00498601],"category_scores_gemma":[0.02214999,0.001431466,0.001650797,0.01428358,0.003261087,0.0130133,0.006210473,0.006630175,0.006194883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003111309,"about_ca_system_score_gemma":0.007184615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01254369,"about_ca_topic_score_gemma":0.01269696,"domain_scores_codex":[0.9866345,0.002106144,0.004514121,0.00150538,0.004632496,0.0006073639],"domain_scores_gemma":[0.9836642,0.002828551,0.002062401,0.00624342,0.004335837,0.0008655323],"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":[0.0002376561,0.0002993715,0.003277836,0.001127252,0.0001389298,0.0005766631,0.002039195,0.005407207,0.005647972,0.6777115,0.1286659,0.1748705],"study_design_scores_gemma":[0.00008231608,0.00008792511,0.002056935,0.0009597974,0.000106495,0.00110829,0.0008474417,0.0203888,0.007432671,0.2047803,0.7620222,0.0001268386],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005591684,0.0006439987,0.9321934,0.004982997,0.0007711474,0.001262103,0.01251488,0.01411374,0.02792605],"genre_scores_gemma":[0.05192111,0.001978373,0.8807805,0.003112337,0.0003102118,0.002709978,0.04255782,0.002918338,0.01371137],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01254369,"threshold_uncertainty_score":0.0544861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03515704310263115,"score_gpt":0.2934517749917134,"score_spread":0.2582947318890823,"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."}}