{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002307294,0.0003327839,0.0003821565,0.0001113361,0.0007852876,0.0006803422,0.0002863934,0.0001417757,0.00008415918],"category_scores_gemma":[0.00005121396,0.0002756539,0.0001095569,0.0003129932,0.0002275066,0.0003363247,0.0003198496,0.0001079006,0.00002633358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006010553,"about_ca_system_score_gemma":0.00006174486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001482744,"about_ca_topic_score_gemma":0.0000108789,"domain_scores_codex":[0.9979955,0.00002273775,0.0005388104,0.0005982636,0.000319377,0.0005253102],"domain_scores_gemma":[0.9988086,0.0001824863,0.0002780716,0.000260045,0.0002890687,0.000181737],"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":[0.00007332125,0.00002615538,0.0004113777,0.0005657697,0.00002464888,0.000005823792,0.0006477889,0.0001603071,0.995266,0.00009591242,0.00006544986,0.002657502],"study_design_scores_gemma":[0.0008775647,0.0001055112,0.00008170633,0.0003381991,0.00006131649,0.000070453,0.0004864609,0.01064734,0.9794166,0.00007939353,0.00739817,0.000437299],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881583,0.004611663,0.005671504,0.0005956158,0.0001701297,0.0002729917,0.00002635705,0.000151916,0.0003414849],"genre_scores_gemma":[0.9576104,0.00001485857,0.04061971,0.0004552752,0.0002428268,0.00002664119,0.0001018106,0.0000372928,0.0008912103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0349482,"threshold_uncertainty_score":0.9999695,"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."}}