{"id":"W2774962235","doi":"10.1007/s10924-017-1164-5","title":"Cellulose Fiber Isolation and Characterization from Sweet Blue Lupin Hull and Canola Straw","year":2017,"lang":"en","type":"article","venue":"Journal of Polymers and the Environment","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"University of Alberta; Natural Sciences and Engineering Research Council of Canada; University of Nebraska-Lincoln","keywords":"Materials science; Canola; Cellulose; Straw; Characterization (materials science); Hull; Cellulose fiber; Fiber; Composite material; Rice hulls; Agronomy; Chemical engineering; Biology; Nanotechnology","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":[0.0003008381,0.0000894951,0.0001712519,0.00002210543,0.000340087,0.0001242513,0.00009684647,0.00002848021,0.0001811248],"category_scores_gemma":[0.00002506558,0.00005514398,0.00002151322,0.000006119075,0.0004402849,0.0002795069,0.0001439899,0.00008869109,0.00000424342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002323735,"about_ca_system_score_gemma":0.000008247544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007868564,"about_ca_topic_score_gemma":0.00000364106,"domain_scores_codex":[0.9993015,0.00006780955,0.0001902008,0.0001170071,0.0001986212,0.0001248613],"domain_scores_gemma":[0.999347,0.00007378567,0.0003546448,0.0001393495,0.000007148374,0.00007809869],"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":[0.0001407929,0.00001946237,0.00127174,0.000007890883,0.00002709024,0.000008526084,0.0009704257,0.000007218939,0.9828195,0.00007989699,0.000009718515,0.01463774],"study_design_scores_gemma":[0.006898789,0.0004860655,0.3455804,0.0001734781,0.0002416705,0.00004343302,0.001183277,0.001278201,0.6332679,0.002535485,0.007855845,0.0004555011],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948501,0.002542106,0.001158091,0.001178464,0.00008305423,0.00008897953,0.00001883854,0.000001532468,0.00007880697],"genre_scores_gemma":[0.9952638,0.003639367,0.0003189807,0.00002953351,0.0001084487,0.000001868336,0.000001762345,0.000006524634,0.0006297051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3495516,"threshold_uncertainty_score":0.2615709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01045060082451962,"score_gpt":0.2340446771554774,"score_spread":0.2235940763309578,"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."}}