{"id":"W2150965300","doi":"10.1109/cimsa.2006.250753","title":"A Novel Ontology for Sensor Networks Data","year":2006,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Scalability; Ontology; Computer science; Wireless sensor network; Key (lock); Raw data; Ontology-based data integration; Process ontology; Data mining; Information retrieval; Database; Computer network; Semantic Web; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001512044,0.00007096832,0.0001153021,0.00002613177,0.00005694396,0.00006612654,0.001183092,0.00005617463,0.000005963148],"category_scores_gemma":[0.0000389139,0.00005460032,0.0000242737,0.00008287453,0.00002966783,0.0002067053,0.0003542114,0.00003579558,0.00001003354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006131215,"about_ca_system_score_gemma":0.0000222231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004584046,"about_ca_topic_score_gemma":0.0009864079,"domain_scores_codex":[0.9992247,0.00000860504,0.0001285487,0.0003330958,0.0000587476,0.0002463267],"domain_scores_gemma":[0.998809,0.0002143134,0.00003310084,0.0008909762,0.00003222406,0.00002034751],"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":[0.00001110844,0.0001426774,0.002464034,0.000009864236,0.0000211659,0.000011169,0.00002886831,0.001245406,0.0006299184,0.8373816,0.1270183,0.03103588],"study_design_scores_gemma":[0.0004213527,0.00003673446,0.007427548,0.000002385221,0.000005530379,0.00004805865,0.0000145347,0.9481638,0.0001448372,0.003649908,0.03995452,0.0001308048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006478509,0.0001168643,0.9900036,0.002555417,0.0004057784,0.000116235,0.000003701261,0.0002037678,0.005946763],"genre_scores_gemma":[0.150846,0.000003160347,0.8459349,0.0009628523,0.0002441546,0.0000096937,0.00002320496,0.000004670458,0.001971357],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9469184,"threshold_uncertainty_score":0.2226537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06363392102817447,"score_gpt":0.2863305654118623,"score_spread":0.2226966443836878,"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."}}