{"id":"W4285822471","doi":"10.26868/25222708.2021.30693","title":"District heating: a practical solution for reducing fossil fuel dependency in Quebec’s remote communities","year":2021,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; TRNSYS; Electricity; Greenhouse gas; Environmental science; Boiler (water heating); Fossil fuel; Heating system; Dependency (UML); Waste management; Environmental economics; Environmental engineering; Engineering; Meteorology; Electrical engineering; Economics; Mechanical engineering; Geography","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":[0.0001361481,0.0002433709,0.0001645392,0.0001505587,0.0008429447,0.00060169,0.0006222913,0.0003779783,0.007216525],"category_scores_gemma":[0.0002811939,0.0001303778,0.0002463413,0.0003348173,0.0002889429,0.0003412386,0.0004260436,0.0002895272,0.0002137459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004898493,"about_ca_system_score_gemma":0.005157697,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7964281,"about_ca_topic_score_gemma":0.9324245,"domain_scores_codex":[0.9999204,0.00002073331,9.622623e-7,0.00001119005,0.00001515843,0.00003163912],"domain_scores_gemma":[0.9999446,0.00001366991,0.00000482468,0.000004383773,0.00001674973,0.00001582284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001206697,0.0001137316,0.00821232,0.00007664296,0.00002871519,0.0003155674,0.0001227737,0.9362076,0.005662457,0.007547149,0.004349797,0.03724262],"study_design_scores_gemma":[0.0001299322,0.0001609187,0.01655487,0.00002700079,0.00003088949,0.0000802077,0.0007549173,0.9648988,0.002293116,0.002710948,0.01232197,0.00003635114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8455865,0.0002748346,0.06908571,0.001226675,0.00003021992,0.0003142563,0.001467435,0.0005335593,0.08148084],"genre_scores_gemma":[0.9835969,0.00007257956,0.007862858,0.00003193076,0.000001986706,0.00004910623,0.0001835066,0.00001646331,0.008184692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2035719,"threshold_uncertainty_score":0.4095415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04117396732607705,"score_gpt":0.2978512370311792,"score_spread":0.2566772697051022,"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."}}