{"id":"W2808915763","doi":"10.1016/j.mfglet.2018.06.003","title":"Rapid prototyping of packaged glass devices: Eliminating a process step in the manufacturing workflow from micromachining to die singularizing","year":2018,"lang":"en","type":"article","venue":"Manufacturing Letters","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rapid prototyping; Surface micromachining; Materials science; Fabrication; Die (integrated circuit); Microfluidics; Process (computing); Workflow; Engineering drawing; Nanotechnology; Computer science; Composite material; Engineering; Database","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":[0.0007047911,0.0008385441,0.0006077776,0.0005644702,0.000594506,0.001438736,0.001131544,0.000574107,0.002871112],"category_scores_gemma":[0.001400325,0.0009971567,0.000657408,0.000339279,0.0007213888,0.0009839184,0.001308315,0.001623341,0.002224266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003194569,"about_ca_system_score_gemma":0.0008679777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005212263,"about_ca_topic_score_gemma":0.001536486,"domain_scores_codex":[0.9992272,0.00008960293,0.00005077269,0.0001264709,0.0004084421,0.00009759459],"domain_scores_gemma":[0.9987398,0.0004600695,0.0001682856,0.0003897008,0.0001651317,0.00007715115],"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":[0.00005954317,0.00003668156,0.0002035251,0.0002666082,0.00001830949,0.0002796704,0.0002211664,0.001073877,0.9570168,0.001961959,0.001277209,0.03758475],"study_design_scores_gemma":[0.00002026004,0.0001856376,0.0007931729,0.00002466736,0.00002308109,0.0004244277,0.00007839332,0.004140135,0.9797719,0.0006044179,0.01389308,0.00004078139],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2364803,0.003297185,0.7324877,0.0009129063,0.0009208448,0.0006274749,0.0004317652,0.00910145,0.01574024],"genre_scores_gemma":[0.2896307,0.002324196,0.698216,0.0003093049,0.0001111559,0.0002717344,0.0003144416,0.001277159,0.007545354],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002871112,"threshold_uncertainty_score":0.009604871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009737283020660095,"score_gpt":0.2185087502256862,"score_spread":0.2087714672050262,"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."}}