{"id":"W2017876950","doi":"10.1117/12.817215","title":"Digital implementations for integrated microfluidic sensing","year":2009,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Electrowetting; Microfluidics; Digital microfluidics; Conductance; Electrode; Layer (electronics); Materials science; Computer science; Position (finance); Optoelectronics; Electronic engineering; Nanotechnology; Engineering; Physics","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":[0.0002912292,0.0004753794,0.0002037121,0.0003969003,0.0002747961,0.001126474,0.0008919155,0.0006665158,0.01020363],"category_scores_gemma":[0.0007663688,0.0002750385,0.0001917143,0.0004549829,0.0003963631,0.001001663,0.0007745167,0.0006538819,0.002508719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004612569,"about_ca_system_score_gemma":0.0002439228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001736348,"about_ca_topic_score_gemma":0.0003757007,"domain_scores_codex":[0.9996477,0.00004705229,0.00002986111,0.00005750641,0.0001853328,0.00003250693],"domain_scores_gemma":[0.9998125,0.00004963748,0.00002041155,0.00005031775,0.00005500004,0.00001225327],"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":[0.0001712237,0.0001058867,0.0003245194,0.0008861504,0.00003301399,0.0002689918,0.0001586513,0.004206455,0.38442,0.3141743,0.01005587,0.2851951],"study_design_scores_gemma":[0.00009208639,0.0007165532,0.0005016943,0.0002498217,0.00006877674,0.001366407,0.00009011566,0.07764236,0.3472246,0.05726523,0.514706,0.00007628095],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02059283,0.008450042,0.885976,0.001280723,0.001772159,0.0003512718,0.0004380655,0.00253197,0.07860687],"genre_scores_gemma":[0.2717289,0.004657087,0.6877576,0.001064619,0.0003738823,0.0004700269,0.0004230122,0.0001161032,0.03340879],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01020363,"threshold_uncertainty_score":0.03413457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009083152957988177,"score_gpt":0.2280968220784749,"score_spread":0.2190136691204867,"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."}}