{"id":"W2896621649","doi":"10.2351/1.5061449","title":"Nanosecond fiber laser micro-texturing of titanium surface for biomedical applications","year":2009,"lang":"en","type":"article","venue":"","topic":"Laser Material Processing Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materials science; Profilometer; Surface roughness; Scanning electron microscope; Laser; Nanosecond; Optics; Surface finish; Ytterbium; Fiber laser; Titanium; Laser power scaling; Fiber; Laser scanning; Optoelectronics; Composite material; Metallurgy","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":[0.0001466255,0.0002281832,0.0001596966,0.0001820415,0.0001644755,0.0001703335,0.0002391954,0.0002525144,0.0006430399],"category_scores_gemma":[0.0002108248,0.0001687491,0.0002955418,0.0001075362,0.0001499356,0.0002129614,0.0001441233,0.0002386022,0.000362145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002076066,"about_ca_system_score_gemma":0.0001508124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003953066,"about_ca_topic_score_gemma":0.000902028,"domain_scores_codex":[0.9998863,0.00001003847,0.000007271305,0.0000185736,0.00005630364,0.00002161348],"domain_scores_gemma":[0.9998996,0.00003283981,0.00002872716,0.00001378051,0.00001628867,0.00000868222],"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":[0.000008374536,0.000004029494,0.00002548866,0.00001909262,0.000001326902,0.00001504926,0.00001019971,0.00007506682,0.9982596,0.00002917667,0.00001931635,0.001533404],"study_design_scores_gemma":[0.000003028478,0.00006518131,0.0006697703,0.000001742385,0.000004364769,0.0000689212,0.000009966997,0.0008473289,0.9975259,0.00002300266,0.0007780501,0.000002844351],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697487,0.002857738,0.02419356,0.0001870348,0.0001159104,0.00006953916,0.00009744431,0.0002177839,0.002512287],"genre_scores_gemma":[0.9728574,0.001447154,0.0222656,0.00007612152,0.00005660962,0.0000468646,0.0001244156,0.00005548356,0.003070428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006430399,"threshold_uncertainty_score":0.002151191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006662123322922376,"score_gpt":0.230263522011702,"score_spread":0.2236013986887796,"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."}}