{"id":"W7067814802","doi":"","title":"North American Clean Energy - Schneider Electric Smart Grid Lab at Ryerson University's Centre for Urban Energy Officially Open","year":2015,"lang":"en","type":"other","venue":"","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Clean energy; Energy (signal processing); Electric energy; Electricity; Smart grid; Renewable energy; Efficient energy use","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008934073,0.0009403197,0.0005577185,0.002026781,0.004300464,0.00503711,0.001147421,0.002717383,0.4467798],"category_scores_gemma":[0.002750086,0.0006365548,0.0004758253,0.001885675,0.001041975,0.002414851,0.001679492,0.002903623,0.3040997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003530492,"about_ca_system_score_gemma":0.009966989,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08632863,"about_ca_topic_score_gemma":0.2113715,"domain_scores_codex":[0.9989485,0.00005784459,0.00002032237,0.0001002803,0.0006616746,0.0002114519],"domain_scores_gemma":[0.9971866,0.0002389007,0.00008281707,0.0004393447,0.00149835,0.0005538744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004224322,0.0001332339,0.0005282701,0.00003688326,0.000002731148,0.00005363321,0.0000534043,0.0001080168,0.0002955377,0.01043425,0.9570652,0.03124658],"study_design_scores_gemma":[0.00001821227,0.00001724524,0.002560994,0.00004025677,0.00000367068,0.00003628516,0.0001292326,0.0004394945,0.0008637031,0.001972412,0.9939069,0.00001160833],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001758819,0.0001571397,0.0008870433,0.001798941,0.000265122,0.0001015422,0.005893711,0.002001628,0.9871361],"genre_scores_gemma":[0.002500893,0.00009017453,0.0003475631,0.0002291052,0.0000272206,0.00003177567,0.002040417,0.0004316829,0.9943011],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9136714,"threshold_uncertainty_score":0.7891014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00781437593587242,"score_gpt":0.1795217231168972,"score_spread":0.1717073471810247,"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."}}