{"id":"W2014609842","doi":"10.1021/ac048303p","title":"Torque-Actuated Valves for Microfluidics","year":2005,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":192,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Materials Research; National Institute of General Medical Sciences; Defense Advanced Research Projects Agency; Canadian Institutes of Health Research; Materials Research Science and Engineering Center, Harvard University; National Institutes of Health; National Science Foundation","keywords":"Chemistry; Microfluidics; Torque; Nanotechnology; Mechanical engineering; Thermodynamics; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004700216,0.0001303146,0.0001392665,0.00001240266,0.00004975974,0.00002194766,0.0001421211,0.000112745,0.0004611467],"category_scores_gemma":[0.00001993631,0.0001339349,0.0001066942,0.0001107267,0.00004259883,0.00003338394,0.00001227369,0.0001044637,0.00006865612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007436933,"about_ca_system_score_gemma":0.0000268395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.773577e-7,"about_ca_topic_score_gemma":1.310872e-7,"domain_scores_codex":[0.9993066,0.000002035643,0.0001873022,0.0001622899,0.00007572593,0.0002660012],"domain_scores_gemma":[0.9995754,0.00003987932,0.00001188549,0.0002201494,0.00004051704,0.0001121372],"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":[0.000003349435,0.00001678919,0.00001152387,0.00003671581,0.00004253866,3.113529e-7,0.000009664349,0.0000139408,0.7259227,0.0003968269,0.2724884,0.001057253],"study_design_scores_gemma":[0.0001048472,0.000003738367,0.00001441979,0.000003188726,0.00002912231,0.000003543648,0.000006579627,0.003509677,0.5722981,0.0001340971,0.4237808,0.000111878],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8664314,0.05399122,0.03606571,0.00181117,0.00007057299,0.0004131507,0.0001064633,0.000997646,0.04011265],"genre_scores_gemma":[0.9832416,0.01199233,0.0005538333,0.000239225,0.0005148427,0.00007090899,0.0001341739,0.00005472035,0.003198364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1536246,"threshold_uncertainty_score":0.5461705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007992542362721742,"score_gpt":0.2238847263659854,"score_spread":0.2158921840032637,"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."}}