{"id":"W4388452943","doi":"10.3390/mi14112071","title":"Femtosecond Laser Machining of an X-ray Mask in a 500 Micron-Thick Tungsten Sheet","year":2023,"lang":"en","type":"article","venue":"Micromachines","topic":"Laser Material Processing Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; CMC Microsystems","keywords":"Laser; Materials science; Tungsten; Optics; Femtosecond; Machining; Wavelength; Beam (structure); Laser beam machining; Optoelectronics; Laser beams; Physics","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":[0.0001660177,0.0002354436,0.000219727,0.0002921094,0.0001480362,0.0002471935,0.0002873514,0.000275181,0.00108533],"category_scores_gemma":[0.0002416412,0.0002751301,0.000198154,0.0002638008,0.0001511091,0.0001972687,0.0001983583,0.0002578382,0.0003735826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002368002,"about_ca_system_score_gemma":0.0003659987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005802081,"about_ca_topic_score_gemma":0.001098646,"domain_scores_codex":[0.9998655,0.000003966177,0.00001218782,0.00002951126,0.00007109268,0.0000178339],"domain_scores_gemma":[0.9998573,0.00002448489,0.00003224965,0.00004034298,0.00003411687,0.00001150466],"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":[0.00001695711,0.0000101508,0.0003001721,0.00004288286,0.000002248296,0.0001026702,0.00003649643,0.0009686394,0.9919662,0.0003740063,0.0001434407,0.006036196],"study_design_scores_gemma":[0.00001382879,0.0001932267,0.005339514,0.000009544424,0.000008882512,0.0003920434,0.00003353063,0.01211422,0.9756301,0.0001591331,0.006093586,0.00001237897],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9071694,0.0002579651,0.08673615,0.00006440257,0.00008603769,0.0001042133,0.0002258843,0.0008018482,0.004554088],"genre_scores_gemma":[0.7891703,0.0002000995,0.2050923,0.00002322678,0.00001075355,0.00007690328,0.0002613935,0.0001015038,0.005063571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00108533,"threshold_uncertainty_score":0.003630817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008795784503793022,"score_gpt":0.2349191001948973,"score_spread":0.2261233156911043,"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."}}