{"id":"W2092547555","doi":"10.1021/jp4073729","title":"Facile and Mild Strategy Toward Biopolymer-Coated Boron Nitride Nanotubes via a Glycine-Assisted Interfacial Process","year":2013,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"National Institute for Materials Science","keywords":"Biopolymer; Polymer; Chemical engineering; Materials science; Boron nitride; Aqueous solution; Adsorption; Solvent; Ionic bonding; Chitosan; Chemistry; Nanotechnology; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001285488,0.0007689203,0.0002020373,0.0001883909,0.0001605499,0.0001498454,0.0002554498,0.0003594615,0.0005758893],"category_scores_gemma":[0.00008288417,0.0001784226,0.0001868488,0.00008600205,0.0001472335,0.0002901951,0.0003130026,0.0004797468,0.0003860395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001723744,"about_ca_system_score_gemma":0.0001290936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000247705,"about_ca_topic_score_gemma":0.0006678072,"domain_scores_codex":[0.9998951,0.0000137611,0.000009804977,0.00002713356,0.00003227606,0.00002186458],"domain_scores_gemma":[0.9999458,0.000008669828,0.00002096659,0.000004088231,0.000008320201,0.00001214236],"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":[0.000005570129,0.000006904144,0.00001425204,0.00003303573,0.000001882241,0.00003567983,0.00001160341,0.00004210174,0.9990638,0.00007742786,0.00001734596,0.0006903052],"study_design_scores_gemma":[0.000003359407,0.00004209485,0.0001880541,0.000002781731,0.000003010836,0.00007369996,0.000005615705,0.0003504835,0.9981605,0.00002085648,0.00114589,0.000003661429],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8903425,0.004244575,0.09550855,0.0003254795,0.0001811268,0.0002691816,0.0003259765,0.0005202303,0.008282356],"genre_scores_gemma":[0.9507865,0.002180174,0.04289916,0.0001379663,0.00004067438,0.0001414971,0.0002315657,0.0000651133,0.003517355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007689203,"threshold_uncertainty_score":0.001926601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172296824629537,"score_gpt":0.2620248722825032,"score_spread":0.2503019040362078,"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."}}