{"id":"W4414685136","doi":"10.3390/fib13100134","title":"Life Cycle Carbon Footprint Assessment of a Typical Bamboo-Based Fiber Composite Material","year":2025,"lang":"en","type":"article","venue":"Fibers","topic":"Bamboo properties and applications","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Division of Materials Research; Jiangxi Provincial Department of Science and Technology; National Natural Science Foundation of China","keywords":"Carbon footprint; Carbonization; Life-cycle assessment; Bamboo; Composite number; Fiber; Carbon fibers; Process (computing)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006055381,0.0004974183,0.0003482433,0.001339858,0.0004253512,0.0004841972,0.0002913962,0.0004213409,0.000767668],"category_scores_gemma":[0.0004297083,0.0001309531,0.0004281925,0.001007023,0.0001671337,0.0004531723,0.0001971794,0.0002132549,0.0001550076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009962773,"about_ca_system_score_gemma":0.000363565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004911566,"about_ca_topic_score_gemma":0.01168784,"domain_scores_codex":[0.9997694,0.00002825559,0.000009283884,0.00004733081,0.0001232479,0.00002244204],"domain_scores_gemma":[0.9996989,0.00009380398,0.00005127324,0.00002018019,0.000117662,0.00001824144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007043165,0.0003242842,0.04843196,0.0003702631,0.00008447966,0.0002959617,0.0001312603,0.05027208,0.8558055,0.0002907909,0.0001208664,0.04316818],"study_design_scores_gemma":[0.0000245775,0.002401034,0.1648313,0.00004015013,0.0001304754,0.0002681459,0.0003632498,0.1368591,0.6917482,0.0005528733,0.002711541,0.0000694276],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934674,0.0003247958,0.004381149,0.00001213245,0.000003028432,0.00005363741,0.0005338292,0.00002770037,0.001196315],"genre_scores_gemma":[0.990759,0.000304303,0.007741958,0.000007724803,0.000001769995,0.00006020395,0.0004996429,0.000011957,0.0006134078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004911566,"threshold_uncertainty_score":0.009765983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208655551662864,"score_gpt":0.2403197793107715,"score_spread":0.2282332237941429,"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."}}