{"id":"W3112568989","doi":"10.1088/1755-1315/588/3/032048","title":"Embodied GHG emissions of buildings – Critical reflection of benchmark comparison and in-depth analysis of drivers","year":2020,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Bundesministerium für Verkehr, Innovation und Technologie; Österreichische Forschungsförderungsgesellschaft; Österreichischen Akademie der Wissenschaften","keywords":"Embodied cognition; Reflection (computer programming); Greenhouse gas; Benchmark (surveying); Critical reflection; Environmental science; Architectural engineering; Engineering; Computer science; Psychology; Geology; Geography; Artificial intelligence; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00535005,0.0005016393,0.0005568566,0.003897654,0.0003234192,0.002342843,0.000692159,0.0004651144,0.0008770822],"category_scores_gemma":[0.009815752,0.0001880406,0.0006798241,0.004535257,0.0007296977,0.002543233,0.001293675,0.0006219667,0.0001362456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001650716,"about_ca_system_score_gemma":0.0006147405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005299821,"about_ca_topic_score_gemma":0.005080037,"domain_scores_codex":[0.9962614,0.00121113,0.0002831169,0.000390416,0.001617269,0.0002365508],"domain_scores_gemma":[0.9889887,0.005507648,0.001338385,0.001174044,0.002865286,0.0001259812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000697677,0.0004178226,0.5873363,0.001760865,0.0007968625,0.001653725,0.008933854,0.1292186,0.02387186,0.032213,0.002879382,0.2102201],"study_design_scores_gemma":[0.00001458066,0.0007156082,0.7688864,0.0006100687,0.0003496641,0.0006267061,0.02350569,0.1235889,0.03174046,0.0227764,0.02701097,0.0001745149],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980327,0.0006513824,0.01029095,0.0003114527,0.00002712566,0.0000714812,0.001340299,0.00004420538,0.006936159],"genre_scores_gemma":[0.9956861,0.0002332066,0.002851569,0.00002195643,0.000009657593,0.00002098795,0.0009250953,0.00001685629,0.0002346064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00535005,"threshold_uncertainty_score":0.02829415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01898512406822953,"score_gpt":0.2730247235355856,"score_spread":0.254039599467356,"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."}}