{"id":"W4386401345","doi":"10.1016/j.cplett.2023.140814","title":"Pristine and vacancy defective boron nitride nanotubes absorb deep eutectic solvents","year":2023,"lang":"en","type":"article","venue":"Chemical Physics Letters","topic":"Ionic liquids properties and applications","field":"Chemical Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Alliance de recherche numérique du Canada; Beijing University of Technology; University of Windsor","keywords":"Boron nitride; van der Waals force; Carbon nanotube; Eutectic system; Vacancy defect; Density functional theory; Materials science; Adsorption; Boron; Chemical physics; Intermolecular force; Chemical engineering; Nanotechnology; Computational chemistry; Chemistry; Physical chemistry; Organic chemistry; Crystallography; Molecule; Metallurgy; Microstructure","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":[],"consensus_categories":[],"category_scores_codex":[0.00004613725,0.000175,0.0001799853,0.00002297249,0.00008459147,0.00002329054,0.0001495484,0.00006464119,0.0000129717],"category_scores_gemma":[0.00005691511,0.0001641829,0.00007817376,0.0002818831,0.00008497784,0.00008365219,0.0001345555,0.000244187,0.0001194415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008875679,"about_ca_system_score_gemma":0.0000090728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002974008,"about_ca_topic_score_gemma":2.093551e-7,"domain_scores_codex":[0.9990079,0.000007141675,0.0001775181,0.0003129395,0.0001489344,0.0003455183],"domain_scores_gemma":[0.9995156,0.0001021688,0.0000390009,0.0002172887,0.00002958463,0.00009637653],"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":[0.00001152717,0.00002826804,0.00005225079,0.00006362708,0.00003663289,0.000002314637,0.0001690838,0.0002714579,0.9947374,0.0006829981,0.001379308,0.002565109],"study_design_scores_gemma":[0.0004982999,0.00001309905,0.0001807736,0.00005232744,0.00004228551,0.000003091856,0.00003966981,0.01158869,0.9844255,0.001665043,0.001166868,0.0003243602],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918615,0.00008107015,0.005799237,0.001344779,0.00007090192,0.0001614941,0.000008110318,0.0003174703,0.0003554652],"genre_scores_gemma":[0.9984627,0.00002064137,0.0003467555,0.0005351927,0.000373298,0.0001006835,0.00004439724,0.00004400382,0.00007234975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01131723,"threshold_uncertainty_score":0.6695186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241564962115741,"score_gpt":0.2234006599992059,"score_spread":0.2109850103780485,"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."}}