{"id":"W2905967352","doi":"10.1007/s40095-018-0292-6","title":"Heat pumps in Ontario","year":2018,"lang":"en","type":"article","venue":"International journal of energy and environmental engineering","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Electricity; Heat pump; Environmental science; Storage heater; Greenhouse gas; Heating system; Electric heating; Heating oil; Renewable heat; Energy consumption; Natural gas; Waste management; Consumption (sociology); Primary energy; Greenhouse; Environmental engineering; Engineering; Hybrid heat; Mechanical engineering; Electrical engineering","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":[0.00018474,0.0002378851,0.0001659198,0.0003749571,0.002474633,0.0009542488,0.0004395818,0.0003293649,0.01205137],"category_scores_gemma":[0.0007769095,0.0001981509,0.0004264206,0.0013296,0.0004861759,0.0003600871,0.0005519323,0.0002145931,0.0008407115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01677945,"about_ca_system_score_gemma":0.01762215,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9602504,"about_ca_topic_score_gemma":0.98215,"domain_scores_codex":[0.9996113,0.0000231882,0.00001013561,0.00004725045,0.0001903222,0.0001178471],"domain_scores_gemma":[0.9995788,0.00004336527,0.00005390327,0.00002516368,0.0002199959,0.0000788702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001081278,0.0002581643,0.5225625,0.001173096,0.0001634647,0.005278969,0.01013914,0.02063539,0.02002115,0.02446085,0.1169593,0.2772667],"study_design_scores_gemma":[0.00005765938,0.000181106,0.62032,0.00012341,0.00006858678,0.0007397637,0.005447289,0.009152438,0.002074942,0.001079749,0.3606802,0.00007486169],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8089634,0.002192709,0.003917345,0.001968289,0.0001541709,0.0002166724,0.007108971,0.0004118306,0.1750666],"genre_scores_gemma":[0.9413655,0.001293303,0.001598167,0.000147133,0.00002381607,0.00005404322,0.001609545,0.00004967578,0.0538589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03974962,"threshold_uncertainty_score":0.121744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00315590857384513,"score_gpt":0.1519948508731744,"score_spread":0.1488389422993293,"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."}}