{"id":"W2954632388","doi":"10.29173/mocs89","title":"Environmental Benefits of Reusable Modular Mass Timber Construction for Residential use in Japan: an LCA Approach","year":2019,"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":"Modular design; Reuse; Benchmark (surveying); Environmental resource management; Sustainability; Engineering; Environmental economics; Environmental science; Civil engineering; Architectural engineering; Computer science; Geography; Ecology; Waste management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008308316,0.0008611382,0.0004618321,0.002651145,0.0005207349,0.001557759,0.0004157014,0.0004256654,0.001388246],"category_scores_gemma":[0.0006571271,0.0003400549,0.001614875,0.002120755,0.0005180815,0.0007852303,0.000636274,0.0002641469,0.0001024377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004130528,"about_ca_system_score_gemma":0.001368843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04840546,"about_ca_topic_score_gemma":0.09118178,"domain_scores_codex":[0.9996597,0.00009127698,0.00001606485,0.00005637781,0.000123793,0.00005275844],"domain_scores_gemma":[0.9996156,0.0001203062,0.00006150217,0.00002417856,0.0001619192,0.0000165622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000473687,0.0005341897,0.1300325,0.0007040637,0.000515718,0.001269092,0.0003524844,0.7311139,0.03280995,0.006005794,0.001631334,0.09455734],"study_design_scores_gemma":[0.00003610209,0.0006183331,0.1428244,0.0000704238,0.0008254419,0.0001437748,0.001521632,0.8366466,0.009686328,0.003771626,0.003753867,0.0001015386],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.973685,0.001090333,0.01286252,0.0001497282,0.00001577876,0.0002001106,0.000779177,0.00006944027,0.01114785],"genre_scores_gemma":[0.9892988,0.0005956433,0.008271636,0.00002129418,0.000006800987,0.0001011794,0.0004398524,0.00002259086,0.001242135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04840546,"threshold_uncertainty_score":0.09624743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008603269206812831,"score_gpt":0.1981218645007147,"score_spread":0.1895185952939019,"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."}}