{"id":"W3211090550","doi":"10.3390/su132111881","title":"Developments in Tall Wood and Hybrid Buildings and Environmental Impacts","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"Structural Timber Innovation Company; Australian Government; FPInnovations; University of Canterbury","keywords":"Urbanization; Climate change; Sustainability; Population growth; Popularity; Population; Natural resource economics; Engineering; Environmental science; Business; Environmental planning; Economics; Ecology; Economic growth; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003437002,0.0002663788,0.0001523879,0.0006851236,0.0003568362,0.001242044,0.0003431819,0.0006160141,0.006303454],"category_scores_gemma":[0.000246139,0.0001448599,0.0002556167,0.0009643513,0.0006679561,0.001246539,0.0008326581,0.0006837082,0.0006640406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004103258,"about_ca_system_score_gemma":0.0002687405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008442907,"about_ca_topic_score_gemma":0.002331415,"domain_scores_codex":[0.9997405,0.00005289798,0.000009026859,0.00004527739,0.0001094771,0.00004270085],"domain_scores_gemma":[0.9997695,0.0000939225,0.00005070621,0.00001407471,0.00004642815,0.00002537145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001049388,0.0003715801,0.008508882,0.003037701,0.00006229608,0.001667698,0.0009766797,0.00973369,0.05223494,0.2783457,0.01056663,0.6343893],"study_design_scores_gemma":[0.000004850448,0.000560799,0.02080044,0.0007721211,0.00005319127,0.003731155,0.002109444,0.005408087,0.0256152,0.07281108,0.868046,0.0000876103],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2039834,0.473309,0.04237485,0.00558614,0.001266445,0.00005647558,0.0002719763,0.0001549648,0.2729969],"genre_scores_gemma":[0.7174034,0.2277755,0.01678769,0.0008911773,0.0009085244,0.00003769246,0.0002351454,0.00005323068,0.03590769],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006303454,"threshold_uncertainty_score":0.02108717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003291337094378947,"score_gpt":0.1780415247945532,"score_spread":0.1747501877001742,"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."}}