{"id":"W3168436439","doi":"10.1186/s40643-021-00453-8","title":"Novel cattail fiber composites: converting waste biomass into reinforcement for composites","year":2021,"lang":"en","type":"article","venue":"Bioresources and Bioprocessing","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Research Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Composite material; Materials science; Compression molding; Fiber; Natural fiber; Carding; Retting; Modulus; Polyester resin; Composite number; Young's modulus; Molding (decorative); Polyester; Mold; Pulp and paper industry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001304149,0.0004909461,0.0001358072,0.0002517757,0.000106297,0.0002094415,0.0001789148,0.0002815733,0.0008839079],"category_scores_gemma":[0.0001149059,0.0001600608,0.0002236286,0.0001960431,0.0001331709,0.0003063333,0.00015524,0.0002644402,0.0002514014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001032058,"about_ca_system_score_gemma":0.0001037317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002519452,"about_ca_topic_score_gemma":0.001336773,"domain_scores_codex":[0.9999204,0.000007936144,0.000006333416,0.00002051095,0.00002881311,0.00001602919],"domain_scores_gemma":[0.9999075,0.00001234792,0.00003134422,0.000008771355,0.00001868368,0.00002127298],"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":[0.00001001305,0.000008104073,0.00007025082,0.00001954275,0.0000013701,0.00002856598,0.00000583714,0.00003986911,0.9991325,0.00001867503,0.000004366332,0.0006609714],"study_design_scores_gemma":[0.000001947835,0.0001250668,0.001757995,0.000002971532,0.000004298664,0.00008169682,0.00001008673,0.0004964028,0.996877,0.00001182331,0.000628538,0.000002259416],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906874,0.0005168221,0.007448079,0.0000191469,0.00002594319,0.00002899639,0.00007293536,0.00008426815,0.00111638],"genre_scores_gemma":[0.9899205,0.000344601,0.007829215,0.00001436725,0.000004768709,0.00001985555,0.00009629066,0.00003015403,0.001740269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008839079,"threshold_uncertainty_score":0.002956986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708750158435089,"score_gpt":0.2525675844216253,"score_spread":0.2354800828372744,"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."}}