{"id":"W2972903174","doi":"10.1016/j.jcis.2019.09.034","title":"Probing effects of molecular-level heterogeneity of surface hydrophobicity on hydrophobic interactions in air/water/solid systems","year":2019,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"nanoparticles nucleation surface interactions","field":"Earth and Planetary Sciences","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta Hospital; University of Alberta","funders":"Ministry of Advanced Education and Technology; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Hydrophobic effect; Chemistry; Monolayer; Chemical physics; Polar; Hydrophobe; Contact angle; Molecular dynamics; Colloid; Chemical engineering; Molecule; Organic chemistry; Computational chemistry","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":[0.0007871883,0.0001396959,0.0003957076,0.0003530403,0.00006662984,0.00004331223,0.0003562023,0.00003305624,0.00009555277],"category_scores_gemma":[0.0001227516,0.000101495,0.0000818854,0.0005439253,0.0002765247,0.0007907302,0.00003822015,0.0002527599,0.00004087875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004981685,"about_ca_system_score_gemma":0.0001345286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004065536,"about_ca_topic_score_gemma":0.0001176655,"domain_scores_codex":[0.998159,0.0001291172,0.0007172857,0.0002202626,0.0005114161,0.0002629269],"domain_scores_gemma":[0.998637,0.0002476626,0.0004954842,0.0001969725,0.0002712845,0.000151649],"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":[0.0001074335,0.00006422765,0.03564214,0.00005872966,0.00001335488,0.000002037342,0.0003958089,0.1606225,0.8030318,0.000005552964,0.000006180094,0.0000502424],"study_design_scores_gemma":[0.0004376449,0.000759256,0.04619058,0.0004653949,0.00001170652,0.00006741418,0.0003885301,0.01595314,0.9355558,0.00002020953,0.00004897582,0.0001013178],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978454,0.0001939634,0.00009775382,0.00007001568,0.001066214,0.0002763185,0.00001086198,0.000005062874,0.0004344402],"genre_scores_gemma":[0.999608,0.00002444703,0.0002219041,0.00002910102,0.0000101775,3.486664e-7,3.450311e-7,0.000004291102,0.0001013513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1446694,"threshold_uncertainty_score":0.4138848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01282343043439361,"score_gpt":0.2618255774583884,"score_spread":0.2490021470239948,"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."}}