{"id":"W3028127141","doi":"10.1016/j.ijpharm.2020.119443","title":"New generation of supramolecular mixtures: Characterization and solubilization studies","year":2020,"lang":"en","type":"article","venue":"International Journal of Pharmaceutics","topic":"Ionic liquids properties and applications","field":"Chemical Engineering","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Université Libanaise; Agence Universitaire de la Francophonie; Agence Nationale de la Recherche; Université du Littoral Côte d'Opale","keywords":"Differential scanning calorimetry; Thermogravimetric analysis; Chemistry; Supramolecular chemistry; Chromatography; Nuclear magnetic resonance spectroscopy; Inverse gas chromatography; Eutectic system; Gas chromatography; Organic chemistry; Molecule","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007649607,0.00006749452,0.0001187978,0.00004232376,0.00001766446,0.00001816997,0.0001370816,0.00003119432,0.00003671068],"category_scores_gemma":[0.0001509126,0.00005875614,0.00004233362,0.00006838707,0.00002053066,0.0001610707,0.00004488491,0.00009764492,0.000001459366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003180269,"about_ca_system_score_gemma":0.00004469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001322954,"about_ca_topic_score_gemma":1.950531e-7,"domain_scores_codex":[0.9992574,0.00001456194,0.0003644653,0.00006897849,0.0002387806,0.00005581143],"domain_scores_gemma":[0.9991649,0.00002345867,0.0002297102,0.00003484032,0.0004730125,0.00007405211],"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":[0.00003717851,0.00001567064,0.00006789614,0.00002186769,0.0001564921,0.00000240683,0.0008851118,0.002470651,0.9863099,0.001080525,0.0001901336,0.008762092],"study_design_scores_gemma":[0.0005451755,0.00004103007,0.00001824731,0.00003280579,0.00005075805,0.00001711432,0.00007286612,0.08743785,0.8992035,0.0000439212,0.01247658,0.00006015328],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4332373,0.0015316,0.5574349,0.00711858,0.0005282298,0.00009038064,0.00001281964,0.00001553539,0.00003069502],"genre_scores_gemma":[0.994868,0.001325438,0.002280119,0.0005773665,0.0008686574,0.000001024992,0.00001916998,0.00001038204,0.00004979064],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5616307,"threshold_uncertainty_score":0.2396006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09396891261976582,"score_gpt":0.3527975924320451,"score_spread":0.2588286798122792,"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."}}