{"id":"W2887815908","doi":"10.1016/j.jcis.2018.08.041","title":"A carbon nanotube-embedded conjugated polymer mesh with controlled oil absorption and surface regeneration via in situ wettability switch","year":2018,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Defense University; McMaster University; Brookhaven National Laboratory; American Chemical Society Petroleum Research Fund; National Science Foundation","keywords":"Wetting; Materials science; Carbon nanotube; Polypyrrole; Chemical engineering; Polymer; Absorption (acoustics); Aqueous solution; Composite material; Nanotechnology; Organic chemistry; Chemistry; Polymerization","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007900782,0.000302556,0.0001724232,0.0001912662,0.0001402041,0.0002341995,0.0003307069,0.0004400667,0.0008630024],"category_scores_gemma":[0.0001400883,0.0001633346,0.0001864313,0.0001611805,0.0001324973,0.0003381764,0.0002018159,0.0002059188,0.000345725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002108563,"about_ca_system_score_gemma":0.00009358192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000215656,"about_ca_topic_score_gemma":0.0004691551,"domain_scores_codex":[0.9999195,0.000007586117,0.000005365027,0.00002543297,0.00002156231,0.00002052103],"domain_scores_gemma":[0.9999198,0.00001626627,0.00002271355,0.00001130389,0.00001435326,0.0000155967],"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":[0.00002228593,0.00001035774,0.00002882072,0.00001822673,0.00000302994,0.00003136774,0.000006348037,0.00008173566,0.9984434,0.00006247573,0.0000392408,0.001252755],"study_design_scores_gemma":[0.000005569554,0.00008003024,0.0003450241,0.000001224952,0.000006382925,0.00003984936,0.000003569116,0.001657073,0.9971008,0.0000204141,0.0007351682,0.000004837828],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856074,0.0003793368,0.01112298,0.000100577,0.00008153215,0.00002663723,0.0001280288,0.0002929982,0.002260511],"genre_scores_gemma":[0.990149,0.0002098013,0.006512151,0.00003960733,0.00001579728,0.00002435636,0.00008660339,0.00003830269,0.002924296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008630024,"threshold_uncertainty_score":0.00288707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009222818251418496,"score_gpt":0.2491961668874467,"score_spread":0.2399733486360282,"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."}}