{"id":"W6966374065","doi":"10.4224/40002020","title":"Guide de l'utilisateur du Code national de l'énergie pour les bâtiments : Canada 2017","year":2019,"lang":"en","type":"standard","venue":"NPARC","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Complement (music); Schematic; Subject (documents); Code (set theory); Government (linguistics); Section (typography)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.005036752,0.001103753,0.0009781665,0.006238193,0.004892518,0.007850023,0.002979936,0.003310476,0.08278867],"category_scores_gemma":[0.01897802,0.001224362,0.0006830849,0.007918038,0.002926052,0.002937761,0.001941845,0.004570995,0.05731297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05303628,"about_ca_system_score_gemma":0.1580975,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9373446,"about_ca_topic_score_gemma":0.9477654,"domain_scores_codex":[0.9853169,0.0007151429,0.0006278774,0.0005243331,0.01193781,0.0008778448],"domain_scores_gemma":[0.969681,0.001906276,0.000459635,0.0008882369,0.02623216,0.0008325891],"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":[0.00002505856,0.00003532308,0.0006296557,0.000240628,0.000004466309,0.00006112834,0.000747458,0.0005028836,0.0005737013,0.02364608,0.8936123,0.07992124],"study_design_scores_gemma":[0.000002978419,0.000003719159,0.0008833028,0.0001728359,0.00000185854,0.00003105073,0.0001699682,0.0001172789,0.0001621703,0.0006031514,0.9978293,0.00002243715],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003728426,0.01012281,0.03432141,0.01396093,0.003929278,0.001954659,0.06344637,0.007056744,0.8614795],"genre_scores_gemma":[0.01752937,0.0108198,0.05596928,0.004758174,0.0002344828,0.001642397,0.03836789,0.005363356,0.8653152],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08278867,"threshold_uncertainty_score":0.3848069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.027697734681638,"score_gpt":0.2927642385543554,"score_spread":0.2650665038727174,"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."}}