{"id":"W1997071098","doi":"10.1002/adma.200601818","title":"Rapid Prototyping in Copper Substrates for Digital Microfluidics","year":2006,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Microfluidics; Photolithography; Rapid prototyping; Materials science; Digital microfluidics; Nanotechnology; Printed circuit board; Electrode; Optoelectronics; Electrical engineering; Electrowetting; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0009662285,0.0009128724,0.0005049134,0.0009204259,0.0005231485,0.001043562,0.001049634,0.00057081,0.007308778],"category_scores_gemma":[0.001498432,0.0005968138,0.0004118114,0.0006531663,0.0004214889,0.000880074,0.0008433094,0.0008286191,0.003378187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004219217,"about_ca_system_score_gemma":0.0003555205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003287613,"about_ca_topic_score_gemma":0.0003773351,"domain_scores_codex":[0.9987785,0.0002266718,0.00009343864,0.0001498292,0.0006161878,0.0001353484],"domain_scores_gemma":[0.9992872,0.0002604091,0.0001031208,0.0001505381,0.0001402331,0.00005848188],"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":[0.0002104111,0.00009371808,0.0002627734,0.001431942,0.0000320658,0.001322566,0.0003249334,0.004843962,0.7940602,0.02138749,0.0135972,0.1624327],"study_design_scores_gemma":[0.00007109128,0.0003601876,0.000622221,0.0001338528,0.00002413034,0.001601321,0.00008915314,0.009316246,0.8427821,0.003184499,0.1417416,0.0000736526],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.110305,0.01610074,0.7827628,0.001244556,0.003530025,0.001130496,0.0009896765,0.009207625,0.07472908],"genre_scores_gemma":[0.2911721,0.008352633,0.655137,0.000313953,0.000281442,0.0009612378,0.0007604433,0.000483782,0.04253742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007308778,"threshold_uncertainty_score":0.0244503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005995099712240548,"score_gpt":0.2032749516678024,"score_spread":0.1972798519555618,"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."}}