{"id":"W2806559185","doi":"10.1115/1.4040469","title":"Fabrication and Wettability Analysis of Hydrophobic Stainless Steel Surfaces With Microscale Structures From Nanosecond Laser Machining","year":2018,"lang":"en","type":"article","venue":"Journal of Micro and Nano-Manufacturing","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Research and Development Corporation of Newfoundland and Labrador","keywords":"Microscale chemistry; Materials science; Wetting; Contact angle; Fabrication; Machining; Nanosecond; Laser; Composite material; Hysteresis; Nanotechnology; Optics; Metallurgy","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":[0.000128996,0.0002026914,0.0001504732,0.0001941582,0.0001546642,0.0001579502,0.0001961213,0.0002616357,0.000490732],"category_scores_gemma":[0.0002330736,0.0001759703,0.0002402362,0.0001409461,0.0002098787,0.0001696442,0.0001411522,0.0001919125,0.0001634407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002390986,"about_ca_system_score_gemma":0.00016323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005156656,"about_ca_topic_score_gemma":0.001396619,"domain_scores_codex":[0.9998106,0.00001092797,0.00001073587,0.00002339069,0.0001201935,0.00002421023],"domain_scores_gemma":[0.9998323,0.00002813724,0.00005892965,0.00002390077,0.0000447551,0.00001208544],"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":[0.000006588686,0.000003054302,0.0001524339,0.0000155496,0.000001416602,0.00001339866,0.0000117695,0.0000948261,0.9989517,0.0000180996,0.000009336767,0.000721856],"study_design_scores_gemma":[0.000003464684,0.0001257312,0.004950449,0.000001227253,0.000004504583,0.00005119546,0.00002279493,0.0012406,0.9931251,0.00001550603,0.0004553203,0.000004219035],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942427,0.0001627461,0.004961709,0.00001917448,0.000008001654,0.00001401181,0.00006147043,0.0000329513,0.0004972018],"genre_scores_gemma":[0.9867815,0.0001603353,0.0123474,0.00001309643,0.000004887053,0.00001721218,0.0001394949,0.00001158771,0.0005244051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005156656,"threshold_uncertainty_score":0.001734853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01026377633308759,"score_gpt":0.232670730883659,"score_spread":0.2224069545505714,"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."}}