{"id":"W2045037212","doi":"10.1021/ac9006733","title":"Magnetically Driven Solid Sample Preparation for Centrifugal Microfluidic Devices","year":2009,"lang":"en","type":"letter","venue":"Analytical Chemistry","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Chemistry; Dissolution; Magnet; Neodymium magnet; Microfluidics; Potassium ferricyanide; Centrifugal force; Sample preparation; Ferricyanide; Nanotechnology; Chromatography; Mechanical engineering; Rotational speed; Inorganic chemistry; Materials science","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":[0.000747464,0.0006731607,0.0005917383,0.0002381483,0.000490465,0.000706207,0.001373041,0.001044771,0.00143779],"category_scores_gemma":[0.001100008,0.0003810283,0.000298347,0.0001723601,0.0004894037,0.0004701001,0.0003476229,0.0007488611,0.000881909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008044074,"about_ca_system_score_gemma":0.0005013938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004398245,"about_ca_topic_score_gemma":0.0009295191,"domain_scores_codex":[0.9991472,0.0001200727,0.00004664882,0.0001981451,0.0004156368,0.0000721821],"domain_scores_gemma":[0.9992989,0.0002464738,0.0001095513,0.00009674734,0.0001883923,0.00005992943],"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":[0.00006061397,0.00003918166,0.00008242839,0.00008665179,0.000005334555,0.00006341702,0.00002324352,0.0001813654,0.9908403,0.0007540398,0.00089143,0.006972033],"study_design_scores_gemma":[0.00006206251,0.0002342979,0.0004205247,0.0000101335,0.000008952659,0.0002041124,0.00001259719,0.007699554,0.9793163,0.0002289448,0.01177176,0.0000307261],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3012679,0.00299417,0.6757894,0.002407212,0.002136821,0.002381769,0.001514843,0.004367878,0.007140038],"genre_scores_gemma":[0.3748029,0.0009050523,0.6158903,0.0006111629,0.0002619379,0.001637789,0.0008671242,0.0001225028,0.004901273],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00143779,"threshold_uncertainty_score":0.005836427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01214894905687388,"score_gpt":0.2450685047334316,"score_spread":0.2329195556765577,"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."}}