{"id":"W2889947847","doi":"10.1016/j.carbpol.2018.09.027","title":"3D printing using plant-derived cellulose and its derivatives: A review","year":2018,"lang":"en","type":"review","venue":"Carbohydrate Polymers","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":332,"is_retracted":false,"has_abstract":false,"ca_institutions":"FPInnovations; University of New Brunswick","funders":"Canada Research Chairs","keywords":"Cellulose; Microcrystalline cellulose; 3D printing; Polymer science; 3d printed; Polymer; Materials science; Chemical engineering; Organic chemistry; Chemistry; Engineering; Composite material; Manufacturing engineering","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":[0.0002184882,0.0008094332,0.00171439,0.0003321129,0.0001338974,0.00006823774,0.0004422757,0.0004121118,0.00006860712],"category_scores_gemma":[0.0001766424,0.0007233568,0.0002683567,0.0004025774,0.0001865897,0.0001125369,0.0003648409,0.0006552575,0.00005456214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000128375,"about_ca_system_score_gemma":0.00007180058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008396993,"about_ca_topic_score_gemma":6.574996e-7,"domain_scores_codex":[0.9978094,0.0001147573,0.0006814642,0.0006060202,0.0001615971,0.0006267297],"domain_scores_gemma":[0.9988719,0.0001663715,0.0003118745,0.0004866745,0.00003718965,0.0001260062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001102167,0.000009268489,4.6383e-7,0.1234984,0.0006120653,0.00005755006,0.0001352299,0.00000668855,0.0003264266,0.0000604444,0.0003466072,0.8749458],"study_design_scores_gemma":[0.0001322199,0.00003269009,9.432357e-7,0.1429975,0.001388489,0.0001040467,0.00004314912,0.001929898,0.008850363,0.00001893674,0.8428062,0.001695587],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009402786,0.9956169,0.000186836,0.000007308599,0.0004189202,0.0006895131,0.00008573451,0.001163805,0.0008906639],"genre_scores_gemma":[0.0004421845,0.9982847,0.0006756834,0.00002816143,0.0001743807,0.00007715727,0.0000697731,0.0001799967,0.00006794368],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8732502,"threshold_uncertainty_score":0.9995217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04976041466546831,"score_gpt":0.2776334006185246,"score_spread":0.2278729859530563,"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."}}