{"id":"W5784823","doi":"10.1533/9780857095510.2.219","title":"Natural fibres for automotive applications","year":2012,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Automotive industry; Natural (archaeology); Materials science; Engineering; History; Archaeology; Aerospace 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001537518,0.001221868,0.0004788593,0.001442042,0.0005872876,0.001217508,0.0005583397,0.0009735902,0.06835245],"category_scores_gemma":[0.0001615164,0.0003830513,0.0003356298,0.001204725,0.0003144808,0.002231672,0.0009461674,0.00108934,0.03242515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005775925,"about_ca_system_score_gemma":0.0004300874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009220861,"about_ca_topic_score_gemma":0.003534819,"domain_scores_codex":[0.9998695,0.000005129928,0.00000454029,0.00002657543,0.00008174536,0.00001247177],"domain_scores_gemma":[0.9999549,0.00001133286,0.000003719263,0.000008327002,0.00001638101,0.000005408669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002940486,0.00008425505,0.00007703857,0.0008757493,0.000008830253,0.0001885213,0.0001841604,0.0008042154,0.03761841,0.03460592,0.08158308,0.8439403],"study_design_scores_gemma":[0.000002060276,0.00002042986,0.0001654695,0.0001656043,0.000004488642,0.000251374,0.00003135211,0.0002521185,0.004570776,0.006143183,0.9883862,0.000006950819],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00431997,0.07836729,0.01686533,0.0007593349,0.002170173,0.00005926316,0.0003018701,0.0004882683,0.8966685],"genre_scores_gemma":[0.00596144,0.02660764,0.00433977,0.0001568155,0.0002119106,0.00003463895,0.0002281327,0.0001222016,0.9623374],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06835245,"threshold_uncertainty_score":0.2286617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01362189385782074,"score_gpt":0.252807365532889,"score_spread":0.2391854716750683,"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."}}