{"id":"W3210848809","doi":"10.1109/ccece53047.2021.9569139","title":"Privacy Preserving Occupancy Detection Using NB IoT Sensors","year":2021,"lang":"en","type":"article","venue":"","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Occupancy; Thermostat; Desk; HVAC; Computer science; Real-time computing; Building automation; Motion sensors; Cluster analysis; Architectural engineering; Artificial intelligence; Engineering; Air conditioning; Electrical engineering","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":[0.0006538813,0.0007126677,0.001018615,0.0005410611,0.0007512784,0.001153664,0.001171577,0.0006766636,0.001439277],"category_scores_gemma":[0.003850201,0.0003645364,0.0005503131,0.0008610734,0.0005806233,0.001671337,0.001881031,0.0008265001,0.000728454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006105199,"about_ca_system_score_gemma":0.0008227022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003223961,"about_ca_topic_score_gemma":0.003637694,"domain_scores_codex":[0.9987617,0.0002056832,0.00006753409,0.0003221991,0.0004358691,0.0002071358],"domain_scores_gemma":[0.9988638,0.0003113987,0.0001582723,0.0003887069,0.0002138088,0.00006403496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001783527,0.0002771886,0.01831752,0.0002930938,0.0001966434,0.0006430925,0.0004829562,0.429071,0.05419027,0.02324764,0.01262913,0.4588679],"study_design_scores_gemma":[0.00001563358,0.00006432089,0.002160846,0.0000173975,0.00001592538,0.0001821642,0.00008056114,0.9753871,0.009835158,0.008713254,0.003504369,0.00002331971],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06770603,0.0006509974,0.9232237,0.0004315238,0.0002308797,0.00006846454,0.0008306393,0.001612711,0.005245013],"genre_scores_gemma":[0.8955989,0.0003375557,0.09948056,0.0002210329,0.0001327819,0.00009340423,0.0009485415,0.00008450208,0.003102762],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003223961,"threshold_uncertainty_score":0.00641036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05108252494011939,"score_gpt":0.2880773006897182,"score_spread":0.2369947757495988,"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."}}