{"id":"W2045865080","doi":"10.1007/s10404-007-0190-3","title":"Low-cost, rapid-prototyping of digital microfluidics devices","year":2007,"lang":"en","type":"article","venue":"Microfluidics and Nanofluidics","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":131,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of New Brunswick","funders":"","keywords":"Digital microfluidics; Microfluidics; Microfabrication; Parylene; Nanotechnology; Materials science; Photolithography; Fabrication; Rapid prototyping; Electrowetting; Masking (illustration); Optoelectronics; Dielectric; Polymer","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":[0.000875715,0.0005991309,0.0005167099,0.0007092374,0.0003393998,0.001211092,0.001317189,0.0006475495,0.00434219],"category_scores_gemma":[0.002233738,0.0006128489,0.0003665849,0.0002882811,0.0003795965,0.001010802,0.0006630357,0.0006459259,0.001322776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003820462,"about_ca_system_score_gemma":0.0004150878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002269302,"about_ca_topic_score_gemma":0.0004281536,"domain_scores_codex":[0.9990017,0.000116909,0.0000465349,0.00009596882,0.0006558179,0.00008308927],"domain_scores_gemma":[0.9988305,0.0005969245,0.0001395972,0.0001496251,0.0002031143,0.00008021587],"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":[0.0002962512,0.00007062736,0.0002933756,0.0006791227,0.00002081631,0.0003657621,0.00007510633,0.003499829,0.8927523,0.005527393,0.003879788,0.0925395],"study_design_scores_gemma":[0.00006703862,0.000204485,0.0008837018,0.00004017198,0.00002615744,0.0006819519,0.0000236146,0.01353876,0.9469592,0.0009685944,0.03656035,0.0000459178],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3010464,0.01120323,0.6456776,0.001503192,0.002116535,0.0007314151,0.0012422,0.005292311,0.03118702],"genre_scores_gemma":[0.4864861,0.003411615,0.4853744,0.0002959405,0.0002583443,0.0005038824,0.0005381847,0.0002889023,0.02284271],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00434219,"threshold_uncertainty_score":0.01452613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007958475610406726,"score_gpt":0.2120226040672902,"score_spread":0.2040641284568835,"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."}}