{"id":"W7008011655","doi":"","title":"Allied, Enwave and Riocan to accelerate expansion of thermal energy system in Toronto","year":2018,"lang":"en","type":"other","venue":"","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Thermal; Energy (signal processing); Energy consumption; Work (physics); Thermal energy","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":[],"consensus_categories":[],"category_scores_codex":[0.000355214,0.000510141,0.0002212895,0.0003264604,0.001138571,0.001158671,0.0004352084,0.0004262158,0.04783172],"category_scores_gemma":[0.0005942483,0.0001421845,0.0003020779,0.0005511437,0.0003245838,0.00044226,0.0009517876,0.0009594387,0.003292266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00651211,"about_ca_system_score_gemma":0.01323167,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5857532,"about_ca_topic_score_gemma":0.8564466,"domain_scores_codex":[0.999733,0.00002547827,0.000003864322,0.00002685164,0.0001197819,0.00009109001],"domain_scores_gemma":[0.9997581,0.0000168557,0.00000912016,0.00001485801,0.0001118742,0.0000891613],"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":[0.0002460012,0.0001520326,0.006305867,0.0002794132,0.00005871246,0.000321593,0.0002435388,0.06178907,0.003879789,0.05009786,0.6817381,0.194888],"study_design_scores_gemma":[0.00007006658,0.00007731457,0.01629942,0.0001395424,0.00005779812,0.00005258295,0.0005800864,0.07091258,0.005407345,0.0074621,0.8989062,0.0000350306],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.074435,0.005092998,0.01861295,0.01576448,0.002261191,0.0001789515,0.004985135,0.002133811,0.8765354],"genre_scores_gemma":[0.2640134,0.003208701,0.01190123,0.0006671242,0.0001532387,0.00004719002,0.00321995,0.0005236805,0.7162655],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4142468,"threshold_uncertainty_score":0.8333728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005190226061362833,"score_gpt":0.1930165193360705,"score_spread":0.1878262932747077,"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."}}