{"id":"W3202226937","doi":"10.1039/d1an01297e","title":"Multifunctional magnetic nanoparticle cloud assemblies for <i>in situ</i> capture of bacteria and isolation of microbial DNA","year":2021,"lang":"en","type":"article","venue":"The Analyst","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"In situ; Bacteria; Isolation (microbiology); Nanoparticle; Magnetic nanoparticles; DNA; Chemistry; Nanotechnology; Magnetic bead; Computational biology; Microbiology; Materials science; Biology; Chromatography; Biochemistry; Genetics; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007882482,0.00004768653,0.0001120355,0.00002826992,0.00001787528,0.00000866547,0.00002369797,0.00003560114,0.00002507861],"category_scores_gemma":[0.0000163548,0.00003737418,0.00004338082,0.0001473274,0.00002686237,0.0000300659,0.000008800791,0.0000378093,8.443462e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007494337,"about_ca_system_score_gemma":0.000005184777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001729125,"about_ca_topic_score_gemma":0.000277482,"domain_scores_codex":[0.9996541,0.00001730423,0.0001539773,0.00006393173,0.00004250121,0.0000681951],"domain_scores_gemma":[0.9997952,0.00005107662,0.00002236815,0.00007366507,0.00004438587,0.00001328812],"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":[0.00001878157,0.00001336512,0.000249503,0.00004470663,0.00001855786,2.656261e-7,0.00008573801,0.0008756708,0.9981213,0.0001205201,0.00007685825,0.0003747126],"study_design_scores_gemma":[0.0003620315,0.00003411503,0.01391539,0.00002152478,0.00007422679,0.000003938797,0.0001740247,0.05251609,0.9322559,0.0001947666,0.0003849404,0.00006308412],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981689,0.0002418158,0.001235167,0.0001223191,0.00007823708,0.00004366238,0.00001360094,0.00000812157,0.00008818363],"genre_scores_gemma":[0.999473,0.00002149146,0.0003476632,0.00001457564,0.00004238912,0.000001742808,0.000007127312,0.00000524833,0.00008672167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06586545,"threshold_uncertainty_score":0.1524075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007845525540457258,"score_gpt":0.197285209902451,"score_spread":0.1894396843619938,"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."}}