{"id":"W2734372360","doi":"10.1038/natrevmats.2017.51","title":"Wood: a construction material for tall buildings","year":2017,"lang":"en","type":"review","venue":"Nature Reviews Materials","topic":"Architecture and Computational Design","field":"Engineering","cited_by":198,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Building material; Environmentally friendly; Architectural engineering; Building construction; Green building; Civil engineering; Construction engineering; Engineering; Structural engineering; Ecology","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":[0.000604464,0.0006652987,0.003000391,0.0001682923,0.0001442399,0.0002852848,0.0005608227,0.00103657,0.0002256984],"category_scores_gemma":[0.0001456854,0.0004985022,0.0005843188,0.00007437653,0.00004669101,0.0001126504,0.0000623884,0.0003793722,0.0001493275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009230431,"about_ca_system_score_gemma":0.0000716758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.329769e-7,"about_ca_topic_score_gemma":4.658647e-7,"domain_scores_codex":[0.9979039,0.0001494102,0.001036132,0.0004152929,0.0001554016,0.0003398083],"domain_scores_gemma":[0.9986417,0.0001096596,0.0005942049,0.000524261,0.00005305485,0.00007711965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005487626,0.000003586023,2.997774e-9,0.0472143,0.0001092486,0.000002548479,0.000005784445,0.000002850703,0.0001266204,0.0009422062,0.00926539,0.942322],"study_design_scores_gemma":[0.00009415814,0.00002085263,6.759274e-8,0.01221839,0.0005671243,0.0001320127,2.02294e-7,0.000001491063,0.0001975784,0.001027187,0.9852582,0.0004827677],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000002801668,0.9870296,0.002147805,0.000007260524,0.006305754,0.002954443,0.0008549092,0.0002145904,0.0004828716],"genre_scores_gemma":[0.000003288372,0.9814818,0.01355169,0.00003049157,0.002685203,0.0009789936,0.001017474,0.0001411118,0.0001099373],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9759928,"threshold_uncertainty_score":0.9997467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0512723903230465,"score_gpt":0.3479501599775108,"score_spread":0.2966777696544643,"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."}}