{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002150909,0.0002343728,0.000241894,0.0001243504,0.0002151719,0.000809676,0.0003508892,0.0004048219,0.003877232],"category_scores_gemma":[0.0004758425,0.0002209798,0.0001278695,0.000115264,0.0003497882,0.0005915649,0.0005600938,0.0005707062,0.0007734649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002876261,"about_ca_system_score_gemma":0.0001811008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002997806,"about_ca_topic_score_gemma":0.0003722881,"domain_scores_codex":[0.9997833,0.000029267,0.00001636063,0.00005157576,0.00004427052,0.00007533887],"domain_scores_gemma":[0.9997174,0.00008605814,0.00004510232,0.00002316542,0.00005488153,0.00007330631],"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":[0.0001259808,0.000009552442,0.0002435549,0.00001778359,0.000002838658,0.00002071581,0.00001226145,0.00001743836,0.9989385,0.0000676245,0.00002713588,0.0005165901],"study_design_scores_gemma":[0.00001448077,0.00005319779,0.003631668,0.000003497849,0.00001109807,0.00007599794,0.0000500292,0.0009010737,0.9947286,0.00007916883,0.0004450625,0.000006121285],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976273,0.0002337455,0.0007618274,0.00007951274,0.00002200841,0.000008246806,0.00004703154,0.00002963499,0.001190692],"genre_scores_gemma":[0.9988487,0.0001114633,0.0002187152,0.00007736013,0.000005446253,0.000005261812,0.00004732742,0.00001486716,0.0006708527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003877232,"threshold_uncertainty_score":0.01297063,"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."}}