{"id":"W2765297039","doi":"10.1002/adfm.201703845","title":"Clay Minerals—Ionic Liquids, Nanoarchitectures, and Applications","year":2017,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Ionic liquids properties and applications","field":"Chemical Engineering","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Intercalation (chemistry); Ionic liquid; Materials science; Kaolinite; Clay minerals; Solvation; Thermal stability; Chemical engineering; Ionic bonding; Ion; Nanocomposite; Nanoparticle; Catalysis; Colloid; Swelling; Inorganic chemistry; Nanotechnology; Organic chemistry; Mineralogy; Chemistry; Composite material","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":[0.0000868321,0.0001505855,0.0001698378,0.0000291772,0.0005869757,0.0001133589,0.0002000531,0.00007703803,0.0004335589],"category_scores_gemma":[0.00006713659,0.0001276016,0.00003480277,0.00002879369,0.0001151486,0.0001802586,0.0001324901,0.00008263655,0.0001026795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000318947,"about_ca_system_score_gemma":0.00002202024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003375992,"about_ca_topic_score_gemma":0.000003046323,"domain_scores_codex":[0.9991234,0.00001030454,0.0002344441,0.0002949351,0.0001198768,0.000217058],"domain_scores_gemma":[0.9991943,0.00004408844,0.0001112206,0.0005121587,0.00005749827,0.00008071197],"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":[0.00004970296,0.00001988758,0.000006629275,0.00002864391,0.00001699046,3.679859e-7,0.000009390578,0.0005280907,0.9507019,0.04531951,0.0002788531,0.003040018],"study_design_scores_gemma":[0.0007884465,0.00006634013,0.0008522143,0.0000452815,0.00002851302,0.00003006309,0.00001498549,0.0001906443,0.824849,0.006843224,0.1659332,0.0003581188],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9447157,0.0009943107,0.03596864,0.003914948,0.001075415,0.001157149,0.0002517095,0.0004672225,0.01145488],"genre_scores_gemma":[0.9918081,0.00008623317,0.00155703,0.0001850178,0.00068182,0.0006939619,0.00007894275,0.00002977391,0.004879186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1656543,"threshold_uncertainty_score":0.5203443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01351652470550332,"score_gpt":0.2413902081478761,"score_spread":0.2278736834423727,"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."}}