{"id":"W7018422933","doi":"","title":"Direct Long Biofibre Thermoplastic Composites for Automotive, Aerospace and Transportation Industries","year":2011,"lang":"en","type":"article","venue":"NPARC","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aerospace; Thermoplastic composites; Thermoplastic; Aerospace materials; Advanced composite materials","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001363786,0.000323467,0.0004041344,0.0008422418,0.002158819,0.001483972,0.0006064059,0.002293432,0.1191963],"category_scores_gemma":[0.004597022,0.0002093175,0.0003086998,0.00038085,0.0003612567,0.001459362,0.0007305486,0.0007562173,0.03569146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008472924,"about_ca_system_score_gemma":0.001917028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001141143,"about_ca_topic_score_gemma":0.005034247,"domain_scores_codex":[0.9984535,0.0001265111,0.00006907488,0.000133312,0.001062424,0.0001551861],"domain_scores_gemma":[0.9879116,0.0004825627,0.0004161075,0.0003926222,0.01000995,0.0007871942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004702835,0.0002494108,0.004188338,0.001636085,0.00002646067,0.001153878,0.0003931067,0.0001251428,0.04761232,0.003368171,0.6693828,0.2713941],"study_design_scores_gemma":[0.00004371838,0.000248597,0.01148318,0.0002197067,0.00002861276,0.0006876295,0.0004991287,0.0003979896,0.02784061,0.0008826282,0.9576296,0.00003866804],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1625458,0.01373792,0.005903866,0.08187979,0.1453762,0.001454192,0.001883989,0.001645317,0.585573],"genre_scores_gemma":[0.08350595,0.003216489,0.001729222,0.001777277,0.006894733,0.00009029882,0.0007906026,0.0001722674,0.9018231],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1191963,"threshold_uncertainty_score":0.3987516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02079543959180073,"score_gpt":0.2278516250738261,"score_spread":0.2070561854820254,"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."}}