{"id":"W299095692","doi":"10.1016/j.apsusc.2015.05.026","title":"Superhydrophobic laser ablated PTFE substrates","year":2015,"lang":"en","type":"article","venue":"Applied Surface Science","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Materials science; Contact angle; Wetting; Polytetrafluoroethylene; Fluence; Hysteresis; Irradiation; Composite material; Femtosecond; Laser scanning; Nano-; Laser; Nanostructure; Morphology (biology); Nanotechnology; Optics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00008748222,0.0001757166,0.0001731912,0.0001580704,0.0002001438,0.000239356,0.0002676767,0.0004209218,0.002731221],"category_scores_gemma":[0.0001779853,0.0001908057,0.0001434757,0.00009074112,0.0001645908,0.0003034163,0.0001864905,0.0004516517,0.0005527734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002935337,"about_ca_system_score_gemma":0.0001274934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005794822,"about_ca_topic_score_gemma":0.001019022,"domain_scores_codex":[0.9998754,0.00000662515,0.000005764435,0.0000288601,0.00004329606,0.00004010655],"domain_scores_gemma":[0.9999387,0.0000170715,0.00001334576,0.00001086636,0.00001355114,0.000006375237],"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":[0.0000284919,0.000004142355,0.00004001478,0.00001230338,0.000001543263,0.00004631387,0.00001071236,0.00006273908,0.9990708,0.00007244995,0.00005092573,0.0005995561],"study_design_scores_gemma":[0.000003411369,0.00002069355,0.000546182,0.000001033964,0.000001710719,0.0000778267,0.000009694057,0.0005802719,0.9980386,0.00002144034,0.0006970462,0.000002076653],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910616,0.0004109791,0.004393757,0.0001020517,0.00006113915,0.00001373092,0.0001303255,0.0001238543,0.003702676],"genre_scores_gemma":[0.992614,0.0001771314,0.002435986,0.00005166564,0.0000121454,0.000009442487,0.0001138044,0.00002288904,0.00456292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002731221,"threshold_uncertainty_score":0.009136915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03491659879508959,"score_gpt":0.2597182071038275,"score_spread":0.2248016083087379,"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."}}