{"id":"W2402040116","doi":"10.1021/acs.biomac.6b00480","title":"A Bottom-up Route to a Chemically End-to-End Assembly of Nanocellulose Fibers","year":2016,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nanocellulose; Nanofiber; Cellulose; Materials science; Chemistry; Hydrolysis; Polymer chemistry; Nanoparticle; Nanotechnology; Carbodiimide; Chemical engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001217788,0.0005318819,0.0002636905,0.0002461962,0.0002570777,0.0002696881,0.00036794,0.0003398413,0.001457232],"category_scores_gemma":[0.000138189,0.000184374,0.000418433,0.0001511082,0.0001596625,0.0003010058,0.0002962657,0.0008271005,0.001436068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002156233,"about_ca_system_score_gemma":0.000276235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005322303,"about_ca_topic_score_gemma":0.0009209294,"domain_scores_codex":[0.9998455,0.00001423293,0.00001051843,0.0000504762,0.00005204645,0.00002716771],"domain_scores_gemma":[0.9999099,0.0000138804,0.00002267019,0.00002112782,0.00001518563,0.00001726196],"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":[0.00001056442,0.00002880474,0.00004662848,0.00005721884,0.000006917676,0.00006309338,0.00001668747,0.0001630705,0.9935313,0.0004210635,0.0001443861,0.005510324],"study_design_scores_gemma":[0.000003788609,0.00007550895,0.0002229771,0.000003328616,0.000006938464,0.000135461,0.000005423817,0.0006234823,0.9946332,0.00006254941,0.004219896,0.000007459925],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4943654,0.003535439,0.4734162,0.0005452812,0.0006313761,0.0007779502,0.001413877,0.001902788,0.02341167],"genre_scores_gemma":[0.585941,0.002260967,0.3937729,0.0004089604,0.00008623309,0.0004016375,0.001001809,0.0002979026,0.01582856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001457232,"threshold_uncertainty_score":0.004874945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01727414317785739,"score_gpt":0.2864359750524437,"score_spread":0.2691618318745863,"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."}}