{"id":"W2316155371","doi":"10.1021/la300634v","title":"Diblock-Copolymer-Coated Water- and Oil-Repellent Cotton Fabrics","year":2012,"lang":"en","type":"article","venue":"Langmuir","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de la Défense Nationale; Canada Research Chairs","keywords":"Copolymer; Water repellent; Polymer science; Chemical engineering; Materials science; Polymer chemistry; Chemistry; Polymer; Composite material; Engineering","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":[0.0001439961,0.00053591,0.0001767074,0.0002814399,0.0001235474,0.0001352801,0.0001598914,0.0001733728,0.001377079],"category_scores_gemma":[0.0001327348,0.0001821956,0.0001690479,0.0001203088,0.0001322016,0.0001599228,0.0001445249,0.0002050268,0.0002970834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002627804,"about_ca_system_score_gemma":0.000128676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007868684,"about_ca_topic_score_gemma":0.001520466,"domain_scores_codex":[0.9998838,0.000008663027,0.000006036945,0.00003225652,0.00003192554,0.00003726399],"domain_scores_gemma":[0.9998888,0.00001544685,0.0000272339,0.00001158253,0.0000226197,0.00003430355],"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":[0.00002775181,0.00000453668,0.00003979535,0.00001231909,0.000001406383,0.00001598566,0.000003605571,0.00002202288,0.9994615,0.00001610264,0.000007211317,0.0003876831],"study_design_scores_gemma":[0.0000109329,0.0001686375,0.001714506,0.00000239301,0.000007268947,0.0000943191,0.000005534745,0.0006237258,0.996463,0.00001170636,0.0008944173,0.000003544345],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939899,0.0005788535,0.003680049,0.00002277304,0.00003819493,0.00004059471,0.0001209895,0.00009054576,0.001438175],"genre_scores_gemma":[0.9863321,0.0005166482,0.008961772,0.00003034177,0.00001205619,0.00003842962,0.0002322209,0.00004340193,0.003832994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001377079,"threshold_uncertainty_score":0.004606783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01972667406445463,"score_gpt":0.2378909221022351,"score_spread":0.2181642480377804,"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."}}