{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001967487,0.0007219356,0.0003700974,0.001634338,0.001245773,0.003656122,0.001794326,0.001127721,0.0117872],"category_scores_gemma":[0.004314962,0.0003572888,0.001103755,0.001746263,0.001430646,0.005110331,0.004194114,0.001722207,0.002582197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009609959,"about_ca_system_score_gemma":0.00102551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004183461,"about_ca_topic_score_gemma":0.005903259,"domain_scores_codex":[0.9988355,0.0002838939,0.0001326179,0.0002030975,0.0004601448,0.00008479899],"domain_scores_gemma":[0.9986118,0.0003285689,0.00006865858,0.0005154531,0.0003775846,0.0000978968],"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":[0.0004240836,0.0002359714,0.003054739,0.0008890483,0.0001177399,0.002170315,0.002801521,0.01714429,0.01345935,0.6063758,0.06631538,0.2870118],"study_design_scores_gemma":[0.00006674385,0.00009604491,0.00122952,0.0003508164,0.0001049248,0.001336953,0.001686516,0.1957051,0.02332676,0.2769086,0.4990987,0.00008944723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00536589,0.0002762094,0.9599295,0.002031451,0.0003646194,0.0003453039,0.001378496,0.00475725,0.02555133],"genre_scores_gemma":[0.1955368,0.0009089845,0.7690774,0.001270817,0.0002004037,0.000619475,0.004542743,0.0009354851,0.02690802],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0117872,"threshold_uncertainty_score":0.03943211,"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."}}