{"id":"W7017782815","doi":"","title":"Canada's First Near Net-Zero Supermarket Leads the Way for a Clean Energy Future","year":2018,"lang":"en","type":"other","venue":"","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Clean energy; Energy (signal processing); Energy consumption; Clean technology; Production (economics)","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":[0.001079283,0.0006095782,0.0002978054,0.001320963,0.007956144,0.00820019,0.001352536,0.003223307,0.1471197],"category_scores_gemma":[0.002555486,0.0002923044,0.0007009803,0.001511503,0.002179907,0.002660559,0.002255698,0.003518075,0.01621668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03728219,"about_ca_system_score_gemma":0.1537648,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.95091,"about_ca_topic_score_gemma":0.988418,"domain_scores_codex":[0.9978672,0.00006083944,0.00001280089,0.00007938773,0.001315307,0.0006643992],"domain_scores_gemma":[0.9971909,0.00009870639,0.00003303511,0.00006380499,0.001604779,0.001008817],"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":[0.00004067368,0.0000370935,0.001049155,0.00008826917,0.000005998286,0.00008253306,0.0001864847,0.00009785623,0.0003002527,0.06029972,0.9125808,0.02523118],"study_design_scores_gemma":[0.000009563922,0.000009257814,0.001628588,0.00008027616,0.00000524903,0.0000279883,0.0006507093,0.0001100458,0.0003250502,0.00301024,0.9941309,0.00001205249],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006260298,0.002117492,0.0009845252,0.04401774,0.001927169,0.00008771296,0.005280069,0.0004867362,0.9388384],"genre_scores_gemma":[0.04144769,0.002570873,0.001542117,0.008294125,0.0001692001,0.00003695972,0.002592598,0.0003330751,0.9430134],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1471197,"threshold_uncertainty_score":0.4921643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006971193630749855,"score_gpt":0.2274335799440554,"score_spread":0.2204623863133056,"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."}}