{"id":"W2330394081","doi":"10.3183/npprj-2014-29-01-p077-084","title":"An improved methodology for imaging cellulose nanocrystals by transmission electron microscopy","year":2014,"lang":"en","type":"article","venue":"Nordic Pulp & Paper Research Journal","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre in Green Chemistry and Catalysis; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Transmission electron microscopy; Cellulose; Materials science; Electron microscope; Nanocrystal; Electron tomography; Nanotechnology; Microscopy; Transmission (telecommunications); Chemical engineering; Scanning transmission electron microscopy; Optics; Computer science; Engineering; Physics; Telecommunications","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","sts"],"consensus_categories":[],"category_scores_codex":[0.01824291,0.0003599952,0.0006150964,0.0003850714,0.00175104,0.0005071536,0.001224596,0.0001487199,0.0006466666],"category_scores_gemma":[0.001775415,0.0002832154,0.0002050564,0.0003963751,0.0007001443,0.001046019,0.0001887184,0.001379561,0.00005515656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003983718,"about_ca_system_score_gemma":0.0004405234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009461885,"about_ca_topic_score_gemma":0.00001561902,"domain_scores_codex":[0.9906543,0.003827706,0.0007057519,0.0008611261,0.001309721,0.002641321],"domain_scores_gemma":[0.9953324,0.002048554,0.0002066647,0.0005703306,0.0009308556,0.0009111727],"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":[0.0006448318,0.0001585157,0.0000614553,0.00007776178,0.0000218239,0.00001554424,0.0003274535,0.000009196791,0.9458671,0.0001186096,0.005265433,0.04743224],"study_design_scores_gemma":[0.001466006,0.001232796,0.00003469401,0.00005783425,0.0000156146,0.0001164542,0.0002737251,0.001245124,0.8649259,0.01002556,0.1203119,0.000294392],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4216611,0.009287016,0.5621424,0.003880821,0.0004531365,0.00147735,0.00005507061,0.0001409343,0.0009021274],"genre_scores_gemma":[0.8802559,0.00206269,0.1130234,0.000377301,0.001180878,0.0003035302,0.00003956081,0.0001692594,0.002587553],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4585947,"threshold_uncertainty_score":0.999962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05157684021204018,"score_gpt":0.4279112149272453,"score_spread":0.3763343747152051,"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."}}