{"id":"W2899295830","doi":"10.1021/acs.langmuir.8b02636","title":"Contributions of van der Waals Interactions and Hydrophobic Attraction to Molecular Adhesions on a Hydrophobic MoS<sub>2</sub> Surface in Water","year":2018,"lang":"en","type":"article","venue":"Langmuir","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Centre for Clean Coal/Carbon and Mineral Processing Technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"van der Waals force; Force spectroscopy; Hydrophobic effect; Adhesion; Molecule; Chemical physics; Chemistry; Ethylene glycol; Attraction; Molecular dynamics; Electrostatics; Steric effects; Nanotechnology; Computational chemistry; Materials science; Stereochemistry; Organic chemistry; Physical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001051323,0.0002813004,0.0001468267,0.0001284475,0.0002270696,0.0001924832,0.0001197425,0.0001727195,0.0004972673],"category_scores_gemma":[0.0002035478,0.000114412,0.0001038174,0.0001062888,0.0002274663,0.0003141701,0.0001977253,0.0002090088,0.00005917501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001612972,"about_ca_system_score_gemma":0.0001206386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009155623,"about_ca_topic_score_gemma":0.00143089,"domain_scores_codex":[0.9999369,0.000007128055,0.000003059263,0.00001360921,0.00002358792,0.00001563964],"domain_scores_gemma":[0.9999428,0.00002716331,0.00001180436,0.00000328896,0.000008334408,0.000006626399],"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":[0.0000290647,0.00001100171,0.0007777394,0.0000566786,0.00001010877,0.0001252411,0.00004822027,0.001881279,0.9937062,0.0006556249,0.00003044009,0.002668465],"study_design_scores_gemma":[0.00001082766,0.00020166,0.01244962,0.000006636789,0.00002654761,0.0001371966,0.0001462839,0.0647701,0.9209487,0.0006300246,0.0006505165,0.00002177554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978101,0.0001921499,0.001329598,0.00002281955,0.000003857479,0.000005554731,0.00001661279,0.000006736055,0.0006126312],"genre_scores_gemma":[0.9990004,0.0001933201,0.0005614341,0.000005650531,0.000003482779,0.000008183792,0.00001095085,0.000001730645,0.0002149791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009155623,"threshold_uncertainty_score":0.001820505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005699774645307546,"score_gpt":0.279086160472117,"score_spread":0.2733863858268095,"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."}}