{"id":"W2619368441","doi":"10.1002/mop.30670","title":"A high precision scheme for micro‐channel processing in quartz glass using femtosecond laser","year":2017,"lang":"en","type":"article","venue":"Microwave and Optical Technology Letters","topic":"Laser Material Processing Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"China Postdoctoral Science Foundation; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Femtosecond; Optics; Quartz; Laser; Laser ablation; Surface micromachining; Ablation; Borosilicate glass; Laser power scaling; Optoelectronics; Fabrication; Composite material; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001773805,0.0002352354,0.0003243483,0.0002504148,0.0002309313,0.0002322873,0.0003503433,0.0003577931,0.00000248334],"category_scores_gemma":[0.00008004257,0.0002332975,0.00003617125,0.00008930951,0.0003390683,0.0003031454,0.0001635062,0.0002701593,0.000003428079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007331367,"about_ca_system_score_gemma":0.00001340266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000905929,"about_ca_topic_score_gemma":0.00001561407,"domain_scores_codex":[0.9988433,0.000006805348,0.0002884306,0.0003515627,0.0000615457,0.0004483527],"domain_scores_gemma":[0.9994689,0.00002161835,0.00007032193,0.0003566518,0.00003504393,0.00004749885],"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":[0.00002854091,0.00001725855,0.0002644319,0.0001852217,0.00001013392,0.00001947423,0.00003787085,0.00003296011,0.9911203,0.0001350267,0.0001944012,0.007954353],"study_design_scores_gemma":[0.0007665108,0.00004360705,0.0002709289,0.0002775434,0.00001788652,0.00003521378,0.00003039099,0.007458637,0.9845752,0.00586601,0.0003225291,0.0003356075],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9548628,0.0001714175,0.04217179,0.001856209,0.0001471038,0.0002961723,0.000009253789,0.0004438684,0.00004135165],"genre_scores_gemma":[0.8556692,0.00001286806,0.1439656,0.0001890737,0.00005871213,0.00004639005,0.000004595815,0.00004698435,0.00000652838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1017939,"threshold_uncertainty_score":0.9513597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01561534494342917,"score_gpt":0.2504715406459471,"score_spread":0.2348561957025179,"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."}}