{"id":"W73431436","doi":"10.1007/978-94-017-2264-3_2","title":"Utilization of Bead Based Reagents in Microfluidic Systems","year":2000,"lang":"en","type":"book-chapter","venue":"","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Microfluidics; Bead; Materials science; Substrate (aquarium); Nanotechnology; Etching (microfabrication); Reagent; Chromatography; Electrochromatography; Capillary electrochromatography; Chemistry; Capillary action; Composite material","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":[0.0005666391,0.001176399,0.0007490009,0.0009896302,0.0004054122,0.001775887,0.001731999,0.0008190692,0.002431543],"category_scores_gemma":[0.0004461899,0.0006345502,0.0005491863,0.001140148,0.0005179859,0.001743314,0.0009745409,0.001466555,0.004390175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007052359,"about_ca_system_score_gemma":0.000528179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004851574,"about_ca_topic_score_gemma":0.0008171475,"domain_scores_codex":[0.9995517,0.00007192075,0.00002852133,0.0000997215,0.0002002535,0.00004783485],"domain_scores_gemma":[0.999841,0.00007570363,0.00001633033,0.00002288439,0.00002987774,0.0000142087],"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":[0.000165802,0.0001562712,0.0002481273,0.002125827,0.00004294144,0.0004435614,0.0003521911,0.002035772,0.6407923,0.06110912,0.005623288,0.2869048],"study_design_scores_gemma":[0.00001131007,0.00016786,0.0002430596,0.0001604814,0.00004931767,0.0006633308,0.00003620826,0.002880133,0.7305049,0.006122154,0.2591326,0.00002872568],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03351993,0.1939585,0.6705288,0.0008117717,0.002077098,0.0003177908,0.0003279652,0.002123554,0.09633462],"genre_scores_gemma":[0.1613755,0.2174776,0.4203175,0.001641818,0.0006069692,0.0005729743,0.001146009,0.0009121336,0.1959495],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002431543,"threshold_uncertainty_score":0.008134305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01781959895947815,"score_gpt":0.2079322498466683,"score_spread":0.1901126508871902,"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."}}