{"id":"W2937109357","doi":"10.29173/mocs63","title":"Comparing cross laminated timber with concrete and steel: a financial analysis of two buildings in Australia","year":2017,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Profit margin; Cross laminated timber; Revenue; Timeline; Internal rate of return; Equity (law); Rate of return; Apartment; Building material; Finance; Engineering; Business; Civil engineering; Economics; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003206629,0.0002053646,0.0004132542,0.0001259665,0.000313752,0.0001915029,0.0001562693,0.00009773612,0.0001395501],"category_scores_gemma":[0.00005034616,0.0001874,0.00005778578,0.0002770634,0.001570686,0.0008274639,0.0002284866,0.0001717254,0.000002139902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001588574,"about_ca_system_score_gemma":0.000007616696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002105034,"about_ca_topic_score_gemma":0.0005332399,"domain_scores_codex":[0.9987031,0.00001221451,0.0002910223,0.0004577425,0.0002360423,0.0002998411],"domain_scores_gemma":[0.999405,0.00001110765,0.0002550429,0.0001737486,0.00002799228,0.0001271186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001024534,0.00001088264,0.9910296,0.00003758334,0.00005270788,0.000005394856,0.0004450353,0.0003891498,0.006697765,0.0003014792,0.00000875869,0.0009191748],"study_design_scores_gemma":[0.00115127,0.00007927052,0.9859226,0.00002985111,0.0001815069,0.0000121195,0.0003417139,0.007881202,0.0038296,0.0001745467,0.0001707306,0.0002255986],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988015,0.00001655063,0.0001094054,0.00002976702,0.00002597364,0.0002224385,0.00000972361,0.00001620203,0.000768443],"genre_scores_gemma":[0.9977292,0.0000145402,0.001875059,0.00001580428,0.00001154282,0.000008417368,0.000005081446,0.000009964621,0.0003304238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007492052,"threshold_uncertainty_score":0.764195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01331232203604725,"score_gpt":0.2674048499046828,"score_spread":0.2540925278686356,"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."}}