{"id":"W4280511396","doi":"10.1038/s41893-022-00887-8","title":"Low-value wood for sustainable high-performance structural materials","year":2022,"lang":"en","type":"article","venue":"Nature Sustainability","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":196,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sustainability; Renewable resource; Cellulose; Biomass (ecology); Renewable energy; Engineered wood; Environmentally friendly; Raw material; Materials science; Resource (disambiguation); Environmental science; Composite material; Computer science; Engineering; Chemistry; Chemical engineering","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","sts"],"consensus_categories":[],"category_scores_codex":[0.002436248,0.0003398135,0.0005094981,0.0001450432,0.002093662,0.0001382353,0.0008257979,0.0001740652,0.0008936353],"category_scores_gemma":[0.002590538,0.0003019136,0.00009771619,0.000531972,0.0003478613,0.0006359408,0.001365489,0.0007396192,0.000006045386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002669268,"about_ca_system_score_gemma":0.0006876624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001170303,"about_ca_topic_score_gemma":0.000003154469,"domain_scores_codex":[0.9958221,0.0004071166,0.0004615257,0.0008889454,0.0008758323,0.001544433],"domain_scores_gemma":[0.9971326,0.0003774748,0.0001945979,0.0008147375,0.001339438,0.0001411573],"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":[0.007153617,0.0008693492,0.002427507,0.0147731,0.000156668,0.0003831057,0.002893826,0.03672193,0.5638099,0.3568607,0.008154775,0.005795517],"study_design_scores_gemma":[0.001664181,0.0008398034,0.006810576,0.00001072314,0.00003126205,0.00001371361,0.009496174,0.0002414069,0.835596,0.1289368,0.01565321,0.0007060926],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943849,0.0004829105,0.0002033662,0.001045818,0.0006942798,0.002585816,0.00021833,0.0002113796,0.0001731514],"genre_scores_gemma":[0.9940898,0.000008709905,0.001148312,0.0001509086,0.0002583412,0.001372236,0.00006812393,0.00004544478,0.002858064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2717862,"threshold_uncertainty_score":0.9999433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004992641635857352,"score_gpt":0.2874382309943381,"score_spread":0.2824455893584807,"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."}}