{"id":"W2800488438","doi":"10.3390/mi9050215","title":"CO2 Laser-Based Rapid Prototyping of Micropumps","year":2018,"lang":"en","type":"article","venue":"Micromachines","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cleanroom; Fabrication; Rapid prototyping; Microfluidics; Fluidics; Process (computing); Peristaltic pump; Laser; Mechanical engineering; Materials science; Computer science; Engineering; Nanotechnology; Electrical engineering; Optics","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":[0.0005269651,0.0005086421,0.0002998464,0.0006922144,0.0004835699,0.0005759216,0.0008043883,0.0006418616,0.00192161],"category_scores_gemma":[0.0006912994,0.0004200283,0.0004073859,0.0002698638,0.0004052045,0.0005481672,0.000682183,0.0005134374,0.001012537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002337348,"about_ca_system_score_gemma":0.0003232549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002759371,"about_ca_topic_score_gemma":0.0005044573,"domain_scores_codex":[0.9995197,0.00005075444,0.00003716934,0.00006841934,0.0002554398,0.0000685216],"domain_scores_gemma":[0.9995291,0.0002032159,0.00007131195,0.00008585849,0.00006079923,0.00004977408],"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":[0.00002455428,0.00001766585,0.00005455108,0.00008833301,0.000004492085,0.0002089133,0.00005597262,0.001042542,0.9895586,0.0007295569,0.0002826842,0.007932168],"study_design_scores_gemma":[0.00001399605,0.0001094875,0.000296413,0.00001172705,0.000004841649,0.0003401233,0.00001805467,0.00510802,0.9867801,0.0001611617,0.007130818,0.00002531217],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4659486,0.003160336,0.5104385,0.0004361323,0.0005034389,0.0006990203,0.0006428919,0.002929946,0.01524114],"genre_scores_gemma":[0.5998135,0.002169136,0.3880295,0.0001174926,0.00006742506,0.0006246921,0.0003196944,0.000227027,0.008631597],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00192161,"threshold_uncertainty_score":0.00642848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006455217465408222,"score_gpt":0.209490358096026,"score_spread":0.2030351406306177,"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."}}