{"id":"W4283325825","doi":"10.1016/j.wasman.2022.06.021","title":"Multi-objective utilization of wood waste recycled from construction and demolition (C&D): Products and characterization","year":2022,"lang":"en","type":"article","venue":"Waste Management","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Universidade de Vigo","keywords":"Biochar; Waste management; Demolition waste; Demolition; Renewable energy; Biomass (ecology); Pyrolysis; Environmental science; Carbon footprint; Greenhouse gas; Life-cycle assessment; Construction waste; Thermal energy; Heat of combustion; Carbon fibers; Production (economics); Engineering; Materials science; Civil engineering; Chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.00005782365,0.00009526085,0.0001042336,0.0001068667,0.00006837691,0.00001517545,0.00004739955,0.00002437028,0.00003892441],"category_scores_gemma":[0.000007684135,0.0001105564,0.00001012969,0.0002122966,0.00003240027,0.0001207342,0.0001204524,0.00004615025,9.566459e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005050469,"about_ca_system_score_gemma":0.000002881226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007213394,"about_ca_topic_score_gemma":0.00000122399,"domain_scores_codex":[0.9993877,0.00003120569,0.0001608428,0.0002056261,0.0001257162,0.00008890359],"domain_scores_gemma":[0.9997495,0.00001109155,0.00006715693,0.0001138179,0.00003241324,0.00002599246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004995979,0.00003692235,0.0002294605,0.0003425921,0.00009286904,8.901839e-7,0.0005431822,0.0001454258,0.9475749,0.0003551473,0.00005714562,0.05057151],"study_design_scores_gemma":[0.001686986,0.00005641798,0.003388697,0.00008738857,0.0001362562,0.000006733511,0.00454178,0.01195582,0.9740465,0.0006939196,0.003047686,0.0003517717],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887193,0.0001643169,0.0102753,0.00004677831,0.0001949992,0.0002610692,0.00005512315,0.0000891101,0.000193955],"genre_scores_gemma":[0.9964437,0.000181991,0.00294313,0.00001669175,0.00002167862,0.00004018209,0.0002552572,0.000016042,0.00008130228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05021974,"threshold_uncertainty_score":0.4508359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01424664347509679,"score_gpt":0.2018373678489735,"score_spread":0.1875907243738767,"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."}}