{"id":"W1927370260","doi":"10.1109/sensor.1995.717341","title":"Micromachining Chemical And Biochemical Analysis And Reaction Systems On Glass Substrates","year":2005,"lang":"en","type":"article","venue":"Proceedings of the International Solid-State Sensors and Actuators Conference - TRANSDUCERS '95","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reagent; Microfluidics; Surface micromachining; Mixing (physics); Chemical reaction; Fluidics; Microreactor; Materials science; Chemical reactor; Lab-on-a-chip; Chip; Chemistry; Analytical Chemistry (journal); Nanotechnology; Chromatography; Chemical engineering; Fabrication; Computer science; Organic chemistry; Electrical engineering; Catalysis","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":[0.0003951954,0.0006511615,0.0005974344,0.0005527639,0.0003475634,0.0006585537,0.0006976214,0.0005001797,0.005062659],"category_scores_gemma":[0.0006787051,0.0006881154,0.0003319422,0.0005777588,0.0005162444,0.0005207056,0.0004699919,0.0009896773,0.002801568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000618429,"about_ca_system_score_gemma":0.00093957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00140603,"about_ca_topic_score_gemma":0.002779941,"domain_scores_codex":[0.999449,0.00003368823,0.00005233973,0.0001486997,0.0002567292,0.00005964101],"domain_scores_gemma":[0.9997037,0.00007123141,0.00004204935,0.00007073865,0.00008330402,0.00002891027],"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":[0.000041053,0.00001562197,0.0002091578,0.0001966164,0.00000902898,0.0000954967,0.00005790069,0.0007927467,0.9652312,0.004397973,0.001305161,0.02764804],"study_design_scores_gemma":[0.0000368431,0.0001482637,0.001583211,0.00002550781,0.00002096691,0.0002619474,0.00003225539,0.004357427,0.9368249,0.001687373,0.05498551,0.00003574649],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1732322,0.01206355,0.7303097,0.00127727,0.003095355,0.00194966,0.002539895,0.009395792,0.06613654],"genre_scores_gemma":[0.2704313,0.00670854,0.6800967,0.0005219708,0.00025167,0.001573407,0.001731522,0.000266046,0.03841882],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005062659,"threshold_uncertainty_score":0.0169363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006920202422060244,"score_gpt":0.2101631288382858,"score_spread":0.2032429264162255,"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."}}