{"id":"W2725407719","doi":"","title":"Demo Abstract: A Semantic Notication Approach for IoT-Based Sensory Data","year":2017,"lang":"en","type":"article","venue":"The Internet of Things","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Internet of Things; Semantics (computer science); Presentation (obstetrics); Perception; Sensory system; Analytics; Human–computer interaction; Data science; World Wide Web","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0008931766,0.00008481759,0.0001093595,0.00003624775,0.0001225683,0.0003964118,0.006216829,0.00002688037,0.00000370105],"category_scores_gemma":[0.0001622013,0.00005983262,0.00003929771,0.00002581646,0.00009177751,0.0008615791,0.001206717,0.00008264277,0.00001515232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008010927,"about_ca_system_score_gemma":0.00001892714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002106873,"about_ca_topic_score_gemma":0.000002968155,"domain_scores_codex":[0.9991913,0.00001310052,0.0001718659,0.000295973,0.0001871558,0.0001405685],"domain_scores_gemma":[0.99698,0.00009690795,0.000282489,0.002574497,0.00004359566,0.00002256466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001417347,0.0007905437,0.0007496934,0.001204893,0.0004300251,0.00001432674,0.004399825,0.0004035726,0.003514095,0.2307136,0.0684889,0.6891488],"study_design_scores_gemma":[0.0002254511,0.00002219874,0.001081351,0.000034113,0.00002236086,0.000001180391,0.00001693517,0.992035,0.002072239,0.00167791,0.002727334,0.00008394509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004104596,0.00001677239,0.9879558,0.003686189,0.0002070586,0.0002681117,0.00001479747,0.00005200577,0.003694657],"genre_scores_gemma":[0.8163807,0.000001366213,0.1816382,0.000347527,0.00005284645,0.000007197045,0.00005030907,0.000006984103,0.001514809],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9916314,"threshold_uncertainty_score":0.99916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08394379158909927,"score_gpt":0.3056366726760442,"score_spread":0.221692881086945,"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."}}