{"id":"W4243510034","doi":"10.32920/ryerson.14653638","title":"Modernizing Ontario’s thermal energy system through integration of district energy into Ontario’s planning process","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Toronto Metropolitan University","funders":"","keywords":"Work (physics); Centrality; Energy planning; Process (computing); Environmental planning; Business; Energy system; Energy (signal processing); Land-use planning; Environmental economics; Key (lock); Land use; Quality (philosophy); Environmental resource management; Civil engineering; Engineering; Economics; Geography; Computer science; Renewable energy; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001283655,0.0002664741,0.0001635252,0.001222531,0.004514612,0.003616756,0.0007876265,0.0003739975,0.005800819],"category_scores_gemma":[0.0024347,0.0003115278,0.0003099325,0.003416086,0.001586334,0.001083379,0.001362102,0.0007955013,0.0005042088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06231557,"about_ca_system_score_gemma":0.1197923,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9686952,"about_ca_topic_score_gemma":0.992708,"domain_scores_codex":[0.9986374,0.0002886623,0.00005372923,0.000110095,0.0005935023,0.0003167298],"domain_scores_gemma":[0.9986656,0.0001783849,0.00009279459,0.0001331925,0.0006504178,0.0002797644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001161196,0.00009917875,0.04651718,0.0006545872,0.00009349068,0.0007056128,0.01894248,0.1002196,0.005493183,0.333796,0.1112413,0.3821214],"study_design_scores_gemma":[0.00002295048,0.00003402591,0.04354911,0.0002340549,0.00004418996,0.0001019434,0.007839256,0.01730068,0.00155586,0.02097996,0.9082547,0.00008323396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1976341,0.004190063,0.1157925,0.020007,0.0002980325,0.001371627,0.003183339,0.0007952696,0.656728],"genre_scores_gemma":[0.7768881,0.003558556,0.096771,0.0004793026,0.00004695086,0.0002569349,0.001453141,0.000213417,0.1203327],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06231557,"threshold_uncertainty_score":0.4521332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03193772600759733,"score_gpt":0.2888239507939137,"score_spread":0.2568862247863163,"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."}}