{"id":"W2588316698","doi":"10.3390/mi8020053","title":"Micro-Hole Drilling on Glass Substrates—A Review","year":2017,"lang":"en","type":"article","venue":"Micromachines","topic":"Advanced Machining and Optimization Techniques","field":"Engineering","cited_by":124,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Surface micromachining; Machining; Machinability; Microelectromechanical systems; Materials science; Mechanical engineering; Fabrication; Nanotechnology; 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":[0.0001186683,0.0001892528,0.0002262108,0.00004358837,0.0002905896,0.00008961155,0.0003212459,0.00005637125,0.00003875975],"category_scores_gemma":[0.00006384096,0.0001693568,0.0000669364,0.00003783884,0.00003892563,0.0001405599,0.00003204084,0.0001755271,0.00006716541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002246345,"about_ca_system_score_gemma":0.000005079006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001190158,"about_ca_topic_score_gemma":0.000006564135,"domain_scores_codex":[0.9993348,0.00001189933,0.0002153409,0.0001767686,0.00007099883,0.000190211],"domain_scores_gemma":[0.9992937,0.00002360256,0.00007899034,0.0005241826,0.00002943295,0.00005003129],"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":[0.00005861458,0.0002404892,0.01221418,0.005467242,0.0002989676,0.0001281074,0.0004912302,0.1197396,0.5045677,0.002663317,0.1100074,0.2441231],"study_design_scores_gemma":[0.00108238,0.000154047,0.006039729,0.006620484,0.0001095895,0.00005146173,0.00001365326,0.03426768,0.7420751,0.001979307,0.205755,0.001851619],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6036152,0.1102449,0.1116734,0.003091589,0.003313083,0.001755261,0.0002011011,0.01015291,0.1559526],"genre_scores_gemma":[0.9471928,0.02093889,0.0294549,0.0008222435,0.0002429689,0.0000427099,0.0000654192,0.0001301982,0.001109826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3435776,"threshold_uncertainty_score":0.6906171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01243096426070655,"score_gpt":0.2731689943178088,"score_spread":0.2607380300571023,"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."}}