{"id":"W2162239134","doi":"10.1108/14714171111124149","title":"House construction CO<sub>2</sub> footprint quantification: a BIM approach","year":2011,"lang":"en","type":"article","venue":"Construction Innovation","topic":"BIM and Construction Integration","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Natural Resources","funders":"","keywords":"Carbon footprint; Greenhouse gas; Framing (construction); Building information modeling; Construction industry; Engineering; Architectural engineering; Process (computing); Originality; Civil engineering; Environmental science; Computer science; Construction engineering; Compatibility (geochemistry)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002661394,0.0003203448,0.0002545745,0.0008460504,0.0002593655,0.0001028837,0.0001536778,0.0003143423,0.00009668079],"category_scores_gemma":[0.00004382831,0.0003583903,0.00008109373,0.00190264,0.000403717,0.0005268042,0.00001648779,0.0003882158,0.0001537708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001818224,"about_ca_system_score_gemma":0.00007692409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000091787,"about_ca_topic_score_gemma":0.000004023861,"domain_scores_codex":[0.9980357,0.00005600934,0.0008817118,0.000430836,0.0002974831,0.0002982404],"domain_scores_gemma":[0.9986175,0.00001846899,0.0002688632,0.0004419596,0.0005820186,0.00007123874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003789411,0.00004297398,0.003756647,0.00007185676,0.00007858886,8.233227e-7,0.000291051,0.000259476,0.1483385,0.5418953,0.0004008158,0.3048262],"study_design_scores_gemma":[0.0010069,0.00006976237,0.01109748,0.00005296879,0.00006538905,0.0008170967,0.00206109,0.008385359,0.9534159,0.01814094,0.004043513,0.0008436262],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5560408,0.00004148535,0.4244553,0.00002700638,0.002511171,0.0003511508,0.00001342414,0.001640312,0.0149194],"genre_scores_gemma":[0.9688254,0.00007274751,0.03039469,0.00003414663,0.0002997263,0.0001698474,0.0001168753,0.0000734293,0.00001315384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8050774,"threshold_uncertainty_score":0.9998868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03518559669408424,"score_gpt":0.2161228232726665,"score_spread":0.1809372265785822,"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."}}