{"id":"W4399319831","doi":"10.1021/acs.biomac.4c00171","title":"Structure Formation by 3D-Printing of Cellulose from Cellulose-NMMO-Water Solutions: Analysis of Extrusion, Regeneration, and Drying Stages","year":2024,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Cellulose; Extrusion; Materials science; Chemical engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003877857,0.0001994517,0.0003740292,0.0003609778,0.000192602,0.0001159079,0.0001776085,0.00008778011,0.0002913766],"category_scores_gemma":[0.00009236848,0.0001499548,0.00009654421,0.0005531397,0.0002676985,0.0003843324,0.0003401283,0.00007747823,0.000007732216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005639957,"about_ca_system_score_gemma":0.00002815027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002745354,"about_ca_topic_score_gemma":0.00007241718,"domain_scores_codex":[0.9980556,0.0001388414,0.0005693513,0.0004266297,0.0004371289,0.0003724461],"domain_scores_gemma":[0.99915,0.0001552023,0.0001610166,0.0002756805,0.0001928263,0.00006522502],"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":[0.00001254207,0.00002252354,0.0001333401,0.0002089576,0.0002026025,0.000007607326,0.001471651,0.00009763142,0.9949238,0.0006341832,0.0002044209,0.002080788],"study_design_scores_gemma":[0.0001186278,0.00003174578,0.0002027522,0.00008456282,0.0002632538,0.000001415036,0.0002612093,0.008571978,0.9888318,0.001225305,0.0002460998,0.000161204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9321931,0.01112511,0.05547784,0.0001042444,0.0001049459,0.0001737533,0.000714511,0.00006308415,0.00004341837],"genre_scores_gemma":[0.9923534,0.0004147759,0.006727322,0.000007034859,0.00003606944,0.00001131802,0.0003212016,0.00001891403,0.0001099201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06016035,"threshold_uncertainty_score":0.6114979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01612762536593404,"score_gpt":0.2680371798233311,"score_spread":0.251909554457397,"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."}}