{"id":"W2077887814","doi":"10.1021/jacs.5b02034","title":"Cellulose Nanocrystals as Chiral Inducers: Enantioselective Catalysis and Transmission Electron Microscopy 3D Characterization","year":2015,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":178,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de Santé Publique du Québec; McGill University; Centre in Green Chemistry and Catalysis","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Enantioselective synthesis; Chemistry; Cellulose; Transmission electron microscopy; Catalysis; Enantiomer; High-resolution transmission electron microscopy; Chemical engineering; Nanotechnology; Kinetic resolution; Molecule; Combinatorial chemistry; Organic chemistry; Materials science","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":[0.0002093566,0.0002599209,0.0001552396,0.0002939022,0.0001394455,0.0004045968,0.0002842541,0.0002950857,0.0008041595],"category_scores_gemma":[0.0002113089,0.0002360489,0.0001722942,0.0002143081,0.0002444371,0.0002065536,0.0001482078,0.0003811168,0.0002156729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003823541,"about_ca_system_score_gemma":0.0001255722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001607261,"about_ca_topic_score_gemma":0.001935908,"domain_scores_codex":[0.9999055,0.000009285324,0.000006985708,0.00002226346,0.00003732576,0.00001866476],"domain_scores_gemma":[0.9998728,0.00004319091,0.00002211592,0.0000209238,0.00002850751,0.00001242541],"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":[0.0000259823,0.00001079874,0.000297213,0.00002879356,0.000003746354,0.0001068956,0.00002783925,0.0004251336,0.997531,0.0002120341,0.00004819665,0.00128243],"study_design_scores_gemma":[0.000005416079,0.00001556363,0.002075647,0.000004126045,0.000006644088,0.0001603739,0.00002442982,0.008589123,0.9883369,0.00004201216,0.0007331251,0.000006718939],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978144,0.0007607545,0.01507556,0.000101067,0.00002075098,0.00004560376,0.0008838996,0.0001813839,0.004786948],"genre_scores_gemma":[0.9793107,0.0005431793,0.01853638,0.00003066387,0.00000555454,0.00003604737,0.0004379942,0.00005330546,0.001046153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001607261,"threshold_uncertainty_score":0.003195763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01268769847869961,"score_gpt":0.29735371823953,"score_spread":0.2846660197608304,"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."}}