{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000790634,0.0001031365,0.0001076264,0.00002930206,0.00003407964,0.00003074697,0.00002365248,0.00002736365,0.0000139224],"category_scores_gemma":[0.00004580232,0.0000975697,0.00001167783,0.00004480448,0.00004741595,0.0001288009,0.00006510963,0.00006705291,0.000001052934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003274205,"about_ca_system_score_gemma":0.0000386059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002831175,"about_ca_topic_score_gemma":0.00002486282,"domain_scores_codex":[0.9994714,0.00001818196,0.0001029149,0.0001568254,0.00005518055,0.0001955506],"domain_scores_gemma":[0.999813,0.0000192958,0.000006568805,0.00009005669,0.00001133031,0.00005977233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002430605,0.00009451938,0.9661546,0.0004287251,0.000049703,0.0001960209,0.002632243,0.0001025407,0.002140083,0.0001211187,0.00005906041,0.02799704],"study_design_scores_gemma":[0.0009955025,0.00004969571,0.9568506,0.00002285555,0.00001476171,0.00004697006,0.002156003,0.0002976231,0.03207022,0.002835403,0.004351387,0.0003089778],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971523,0.002230843,0.000005572335,0.00009872537,0.00002437501,0.0001221245,0.00000565422,0.00003706232,0.0003233922],"genre_scores_gemma":[0.9994575,0.0001799009,0.0002033591,0.00001343381,0.000006290764,0.00001175078,0.00001089602,0.00000991703,0.0001069726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02993014,"threshold_uncertainty_score":0.3978777,"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."}}