{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007497011,0.000265092,0.0003711085,0.000180666,0.000008206937,0.00001818518,0.0001204238,0.00036289,0.0009943735],"category_scores_gemma":[0.000002983066,0.0002329255,0.00002523962,0.00009899299,0.00001336681,0.00005481433,0.00002860826,0.00004462414,0.00002167303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003014145,"about_ca_system_score_gemma":0.00001860092,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03359508,"about_ca_topic_score_gemma":0.05482697,"domain_scores_codex":[0.9991261,0.00003492538,0.000303732,0.0002176193,0.000125915,0.000191686],"domain_scores_gemma":[0.9995661,0.000008620165,0.00006043843,0.0002611083,0.00003999193,0.0000637269],"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":[0.0001256052,0.00006447871,0.0001341611,0.003581977,0.0008415819,0.00004889277,0.002199239,0.2492438,0.04327871,0.05183557,0.6312786,0.01736746],"study_design_scores_gemma":[0.001880684,0.0003698515,0.0001386406,0.008641592,0.00008989,0.00002709188,0.004061807,0.3876095,0.05550767,0.000004656157,0.5390215,0.002647078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0007499625,0.0005928051,0.009761686,0.00000146192,0.0004991349,0.0001660743,0.000009720341,0.0003526169,0.9878665],"genre_scores_gemma":[0.5349499,0.0003355091,0.004860673,0.00003673287,0.0005652655,0.0001157182,0.0000779992,0.001048677,0.4580095],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5341999,"threshold_uncertainty_score":0.9999189,"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."}}