{"id":"W143491604","doi":"10.5220/0002589500510058","title":"QUANTITATIVE BIOCHEMICAL ASSAY ON A SURFACE MICROFLUIDIC DEVICE","year":2010,"lang":"en","type":"article","venue":"","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Microfluidics; Surface (topology); Materials science; Nanotechnology; Mathematics","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":[0.0008644497,0.0008134267,0.0007580894,0.000631839,0.0003364857,0.0006924259,0.001051972,0.0008238374,0.001340664],"category_scores_gemma":[0.0008113972,0.0004308418,0.000407504,0.0004998713,0.0004203021,0.000587764,0.0005085718,0.001056845,0.001029841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004084929,"about_ca_system_score_gemma":0.0005398983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002375347,"about_ca_topic_score_gemma":0.0004297792,"domain_scores_codex":[0.9990551,0.0001525972,0.00006498549,0.0002821073,0.0003497147,0.00009548826],"domain_scores_gemma":[0.9993041,0.0003308588,0.00005704482,0.0001072508,0.0001188744,0.00008188486],"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":[0.00005891313,0.00003898744,0.0001715305,0.00003741476,0.000005123817,0.00002039717,0.00001614127,0.0000604415,0.9958043,0.000263871,0.0001106834,0.003412327],"study_design_scores_gemma":[0.00001615426,0.0002598592,0.0007500447,0.000004966796,0.00001588387,0.00007453204,0.000009674249,0.004227707,0.9927164,0.0001593646,0.00175611,0.000009322322],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4621577,0.00168677,0.5251245,0.0006836916,0.0008307836,0.0005488422,0.001429989,0.002383564,0.005154027],"genre_scores_gemma":[0.5981404,0.001337525,0.3876177,0.0004467596,0.000302996,0.0007697766,0.001874172,0.000139244,0.009371451],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001340664,"threshold_uncertainty_score":0.004571676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0099070936447381,"score_gpt":0.232365192794993,"score_spread":0.2224580991502549,"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."}}