{"id":"W2616122346","doi":"10.1116/1.4983408","title":"Interplay between adsorbed peptide structure, trapped water, and surface hydrophobicity","year":2017,"lang":"en","type":"article","venue":"Biointerphases","topic":"Supramolecular Self-Assembly in Materials","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Wellcome; Western Canada Research Grid; Wellcome Trust; Universities Space Research Association; University of Victoria","keywords":"Peptide; Adsorption; Chemistry; Aqueous solution; Molecular dynamics; Contact angle; Amphiphile; Chemical physics; Crystallography; Chemical engineering; Biophysics; Organic chemistry; Computational chemistry; Biochemistry; Polymer","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004500896,0.0003822876,0.0005538138,0.00007201979,0.000497235,0.001074795,0.0009622513,0.0001546496,0.0009636907],"category_scores_gemma":[0.0002220405,0.000283081,0.0001040033,0.00002706418,0.0003903332,0.000515499,0.0005532162,0.000113717,0.0002172053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004876908,"about_ca_system_score_gemma":0.0000319915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006431531,"about_ca_topic_score_gemma":0.00008170052,"domain_scores_codex":[0.9977456,0.0001970366,0.0004816035,0.0006799275,0.0002992677,0.0005965431],"domain_scores_gemma":[0.998263,0.0001085254,0.0002573662,0.001092791,0.00007398521,0.0002043117],"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":[0.00009136778,0.00003465045,0.00510162,0.00003958742,0.00002980927,0.00003932829,0.0002386484,0.000002426917,0.9937057,0.00002009511,0.0004303239,0.0002664739],"study_design_scores_gemma":[0.0008560627,0.0001794057,0.00548603,0.00009198239,0.00005855467,0.00004578429,0.0000495121,0.00004571502,0.9909309,0.0004902593,0.0013742,0.0003916527],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968957,0.0001018127,0.0005718722,0.000182347,0.001052445,0.0003181793,0.0003206419,0.0001905986,0.0003664376],"genre_scores_gemma":[0.9969836,0.00001517145,0.002388961,0.000102793,0.0002333756,0.00000663724,0.00004786645,0.00005130035,0.0001702316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002774828,"threshold_uncertainty_score":0.9999622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01916234430199596,"score_gpt":0.3057694290187775,"score_spread":0.2866070847167815,"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."}}