{"id":"W3029473988","doi":"10.1016/j.jcis.2020.05.091","title":"Interfacial ion specificity modulates hydrophobic interaction","year":2020,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"Spectroscopy and Quantum Chemical Studies","field":"Physics and Astronomy","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Advanced Education and Technology; Canada Research Chairs; Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China; Canada Foundation for Innovation","keywords":"Hydrophobic effect; Polymer; Polydimethylsiloxane; Chemistry; Hydrophobe; Ion; Adsorption; Polystyrene; Micelle; Chemical engineering; Chemical physics; Organic chemistry; Aqueous solution","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":[0.0001579222,0.00009691202,0.0001915414,0.00004853044,0.0001434066,0.0001078496,0.0002077762,0.00001382872,0.0001815753],"category_scores_gemma":[0.00003069287,0.00007263516,0.00006226743,0.0002516837,0.0002413342,0.0004802916,0.0001014756,0.000226976,0.000009067669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003595975,"about_ca_system_score_gemma":0.00004172186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001188576,"about_ca_topic_score_gemma":2.748443e-7,"domain_scores_codex":[0.9992035,0.00001191773,0.0002724261,0.0001496445,0.000206616,0.0001559086],"domain_scores_gemma":[0.9994567,0.00002881163,0.0002055774,0.00004600036,0.0001246588,0.000138231],"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":[0.00009973304,0.00003168364,0.001657283,0.000003574783,0.00001461339,2.155854e-7,0.0006757566,0.00007477116,0.9960188,0.0004662125,0.0004533458,0.0005040395],"study_design_scores_gemma":[0.0002415175,0.0003495527,0.0005907262,0.00003944353,0.00001048411,0.000005151117,0.001245846,0.001938926,0.9918122,0.0007911388,0.002888662,0.00008632052],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937754,0.0001258049,0.002398569,0.0007989404,0.0004348455,0.00004046993,0.000002723201,0.000005683829,0.00241758],"genre_scores_gemma":[0.9993103,0.00001870897,0.000168976,0.00005462072,0.0004125386,4.465366e-7,1.076342e-7,0.000003598141,0.00003070269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005534918,"threshold_uncertainty_score":0.2961976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01570866380873433,"score_gpt":0.2812684297135375,"score_spread":0.2655597659048032,"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."}}