{"id":"W4410250599","doi":"10.1002/wer.70089","title":"Pure mycelium materials production from agri‐processing water: Effects of feedstock composition on material properties for packaging applications","year":2025,"lang":"en","type":"article","venue":"Water Environment Research","topic":"Plant and Biological Electrophysiology Studies","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ontario Agri-Food Innovation Alliance; Ministry of Agriculture, Food and Rural Affairs; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Low-density polyethylene; Raw material; Pulp and paper industry; Chemical engineering; Chemistry; Polyethylene; Materials science; Composite material; Organic chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0002701493,0.0001318878,0.0002142548,0.00002703077,0.0004947291,0.00004718329,0.0001793044,0.0001027538,0.00004474078],"category_scores_gemma":[0.000008261239,0.00003803083,0.00004111327,0.00005556702,0.0002115559,0.00005192071,0.000157918,0.00009807825,0.00003142007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004975947,"about_ca_system_score_gemma":0.000002188712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006283151,"about_ca_topic_score_gemma":0.000005667737,"domain_scores_codex":[0.9986784,0.0001675962,0.0001974318,0.0003865322,0.0001755643,0.0003944918],"domain_scores_gemma":[0.9997619,0.00008104238,0.00002900909,0.00006713886,0.00003605932,0.00002479966],"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":[0.000405641,0.0001550669,0.00008895295,0.00009678795,0.00002447832,4.688117e-7,0.00006104855,0.000004249463,0.9919465,0.00001951313,0.0001293599,0.007067971],"study_design_scores_gemma":[0.0001122434,0.0004141989,0.007456696,0.00007237088,0.00001331434,3.213833e-7,0.00005159549,0.000002451619,0.987976,0.001472724,0.002336065,0.00009199819],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956893,0.0001105263,0.00001074547,0.002824835,0.00009496191,0.001158628,0.00005827755,0.00002904957,0.00002370835],"genre_scores_gemma":[0.9976177,0.0001556401,0.00003283671,0.00004509364,0.000301578,0.0007812886,0.0007790634,0.000001211117,0.0002855777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007367743,"threshold_uncertainty_score":0.3805107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02693029918705174,"score_gpt":0.2466786134187959,"score_spread":0.2197483142317442,"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."}}