{"id":"W3147492158","doi":"10.1016/j.biteb.2021.100692","title":"Fungal biocomposites: How process engineering affects composition and properties?","year":2021,"lang":"en","type":"article","venue":"Bioresource Technology Reports","topic":"Plant and Biological Electrophysiology Studies","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; York University","keywords":"Biocomposite; Sustainability; Biochemical engineering; Life-cycle assessment; Process (computing); Process engineering; Bioreactor; Mycelium; Environmental impact assessment; Environmental science; Materials science; Pulp and paper industry; Computer science; Engineering; Production (economics); Chemistry; Ecology; Biology; Composite material","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":[0.0005998207,0.0004010981,0.0002833637,0.0002164161,0.0001574739,0.00133519,0.0002727518,0.0004771501,0.001034715],"category_scores_gemma":[0.00105852,0.0002270635,0.0002504873,0.0003066685,0.0003275921,0.001365539,0.0002509955,0.0005450657,0.0003344603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002601738,"about_ca_system_score_gemma":0.0002621331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000802019,"about_ca_topic_score_gemma":0.001427089,"domain_scores_codex":[0.9996312,0.00007059786,0.00003494741,0.00006602213,0.0001267978,0.00007046227],"domain_scores_gemma":[0.9995783,0.0001322255,0.0001203272,0.00003766277,0.00009511916,0.00003639052],"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":[0.00009691039,0.00006205939,0.001152237,0.00008034904,0.00002358006,0.00006344578,0.00004427653,0.0002188002,0.990285,0.0002573424,0.00005489319,0.007661091],"study_design_scores_gemma":[0.000006367593,0.0001109693,0.006973214,0.00002420701,0.00005805242,0.0001519252,0.0001561912,0.0008196165,0.9897491,0.0002230466,0.001714371,0.00001294392],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792458,0.004056126,0.01166429,0.0004245673,0.00007365317,0.00003926514,0.0002148719,0.00007687822,0.004204622],"genre_scores_gemma":[0.9926576,0.002559839,0.003311865,0.0001178315,0.00001641961,0.00001351942,0.0001298413,0.00005020918,0.001142765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00133519,"threshold_uncertainty_score":0.003461421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00902874191237926,"score_gpt":0.1747403400140798,"score_spread":0.1657115981017005,"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."}}