{"id":"W4247088908","doi":"10.32920/ryerson.14648994","title":"Timber Framing Factor in Toronto Residential House Construction","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Framing (construction); Building envelope; Environmental science; Architectural engineering; Engineering; Thermal; Civil engineering; Geography; Meteorology","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":[0.0003325133,0.0003301458,0.0001555476,0.000545182,0.0005586346,0.0007698737,0.0002983991,0.0001610298,0.002173251],"category_scores_gemma":[0.0008654432,0.0001343076,0.0001817599,0.0008521407,0.0004025436,0.0002052882,0.0002600627,0.00011389,0.0003167753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004087082,"about_ca_system_score_gemma":0.001217745,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.286243,"about_ca_topic_score_gemma":0.5460699,"domain_scores_codex":[0.9995056,0.00004651245,0.00001323894,0.00006216294,0.0002735715,0.0000989224],"domain_scores_gemma":[0.9997275,0.00004756575,0.00004051965,0.00002741325,0.0001270551,0.00002991449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00109803,0.0001825777,0.5041813,0.000319508,0.00008748919,0.001767137,0.003091866,0.1818637,0.1220072,0.007666379,0.004177896,0.1735569],"study_design_scores_gemma":[0.000009785229,0.0003613037,0.9131583,0.00003969323,0.00005382523,0.0003832839,0.002618138,0.02722844,0.04630633,0.0004809737,0.009299865,0.00006008666],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896951,0.0001300095,0.001287764,0.00001001002,0.000003556005,0.00001370061,0.0001930826,0.00003468667,0.0086321],"genre_scores_gemma":[0.9974703,0.00004332269,0.0007963666,0.000001335917,5.662156e-7,0.000003217355,0.0001505479,0.000009875085,0.001524481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.713757,"threshold_uncertainty_score":0.5691537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007824339253657159,"score_gpt":0.218703572401262,"score_spread":0.2108792331476048,"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."}}