{"id":"W4401107662","doi":"10.47604/ijts.2815","title":"The Effect of Smart Grid Technology on Energy Consumption Management in Canada","year":2024,"lang":"en","type":"article","venue":"International Journal of Technology and Systems","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Smart grid; Energy consumption; Computer science; Energy management; Environmental economics; Renewable energy; Demand response; Big data; Consumption (sociology); Efficient energy use; Engineering; Energy (signal processing); Electricity; Electrical engineering; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002533805,0.00008444165,0.0001486457,0.000939837,0.00001597714,0.00001972651,0.0002908746,0.00006724745,0.000002562971],"category_scores_gemma":[0.00001608958,0.00005832566,0.00002469318,0.0002089389,0.00004855056,0.00003674438,0.00004926497,0.0001753246,0.000001456492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003167961,"about_ca_system_score_gemma":0.0000200474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002987086,"about_ca_topic_score_gemma":0.01507664,"domain_scores_codex":[0.9992538,0.00002059457,0.0003458724,0.00007321397,0.0002046008,0.0001018965],"domain_scores_gemma":[0.9996926,0.0001002447,0.00006335929,0.00009626071,0.00003443356,0.00001309263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000243185,0.00002390315,0.06120539,0.0005116184,0.003452636,0.002497882,0.00002820623,0.1750205,0.001060898,0.4438246,0.01446179,0.2976694],"study_design_scores_gemma":[0.002990832,0.00119638,0.01090826,0.003954305,0.0001823144,0.00222733,0.000825383,0.1594971,0.03159072,0.003491553,0.7825596,0.0005762593],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738774,0.01103335,0.001045661,0.001713125,0.01073907,0.0001026499,0.00000538954,0.00007928883,0.001404063],"genre_scores_gemma":[0.998462,0.001364665,0.00001283524,0.000006089373,0.00006926317,0.00001726976,5.858778e-7,0.000008157013,0.00005908447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7680978,"threshold_uncertainty_score":0.8413117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003670828631379248,"score_gpt":0.2022788544140931,"score_spread":0.1986080257827139,"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."}}