{"id":"W7096122451","doi":"","title":"ABSTRACT","year":2016,"lang":"en","type":"article","venue":"","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metric (unit); Quarter (Canadian coin); Linear regression; Energy (signal processing); Air conditioning; Metre; Seasonality","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002204813,0.0008238931,0.0006926945,0.002072913,0.002773361,0.003647508,0.001860959,0.001660919,0.4694615],"category_scores_gemma":[0.006819884,0.00030615,0.0008734946,0.001720461,0.0007320658,0.001846563,0.00284794,0.001617352,0.2682959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002182391,"about_ca_system_score_gemma":0.004804529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007271185,"about_ca_topic_score_gemma":0.006471558,"domain_scores_codex":[0.9975345,0.0003643316,0.000196184,0.0004517728,0.001184709,0.0002683444],"domain_scores_gemma":[0.9951414,0.0003867744,0.0001391968,0.0006550423,0.003222491,0.0004551422],"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":[0.0003117901,0.0002640591,0.003467701,0.0003626905,0.00001930574,0.0003690806,0.0006059546,0.0004248815,0.001234832,0.03657003,0.6240214,0.3323483],"study_design_scores_gemma":[0.00002691881,0.0001155214,0.002402184,0.0001359761,0.000009115426,0.0002071694,0.0003795714,0.0003186189,0.000869097,0.004286683,0.9912314,0.00001779174],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007846036,0.0008044606,0.01924206,0.004959143,0.005050938,0.002249234,0.01715705,0.002185499,0.9405054],"genre_scores_gemma":[0.04924381,0.0009486752,0.01783847,0.003504889,0.0007675935,0.001809629,0.0179284,0.0008762378,0.9070822],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5305386,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005147687124836537,"score_gpt":0.1653739486869689,"score_spread":0.1602262615621323,"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."}}