{"id":"W1480911002","doi":"","title":"DNA Separation Using Photoelectrophoretic Traps","year":2011,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Separation (statistics); DNA; Chromatography; Chemistry; Biology; Genetics; Computer 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":[0.0002786331,0.0003618878,0.0003254963,0.0002991337,0.0004247706,0.0006534517,0.0006032176,0.0008426295,0.001183951],"category_scores_gemma":[0.0004181668,0.0002613268,0.0002324487,0.0002471303,0.0004456203,0.0008221709,0.0003982807,0.0006838992,0.0005895885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004331015,"about_ca_system_score_gemma":0.0003534477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005996521,"about_ca_topic_score_gemma":0.000878383,"domain_scores_codex":[0.9998287,0.00002369724,0.000007926069,0.00004807653,0.00007355377,0.00001794545],"domain_scores_gemma":[0.9998633,0.00008035643,0.00001955725,0.000008016955,0.00001703677,0.00001175609],"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":[0.0001397132,0.00009497751,0.0004256166,0.0004807599,0.00005225634,0.0002184984,0.0001137573,0.01266096,0.9388049,0.01465476,0.0008441124,0.03150966],"study_design_scores_gemma":[0.0000721614,0.0001632142,0.0002352233,0.00003586496,0.00002662204,0.0003032206,0.00002645985,0.08672006,0.892929,0.003396986,0.01603886,0.00005235275],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4204662,0.01839434,0.5494922,0.001425475,0.000516916,0.0003211537,0.0004152543,0.001067331,0.007901153],"genre_scores_gemma":[0.737682,0.005943185,0.2436063,0.000601829,0.00008944664,0.0002987788,0.0002430985,0.00007936226,0.01145596],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001183951,"threshold_uncertainty_score":0.003960729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1895136958989543,"score_gpt":0.4788582255021107,"score_spread":0.2893445296031564,"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."}}