{"id":"W2066391794","doi":"10.1021/la7037476","title":"Superparamagnetic Nanoparticle−Polystyrene Bead Conjugates as Pathogen Capture Mimics:  A Parametric Study of Factors Affecting Capture Efficiency and Specificity","year":2008,"lang":"en","type":"article","venue":"Langmuir","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Steacie Institute for Molecular Sciences; Centre hospitalier universitaire de Québec","funders":"","keywords":"Superparamagnetism; Magnetic nanoparticles; Polystyrene; Nanoparticle; Materials science; Microfluidics; Nanotechnology; Miniaturization; Dispersion (optics); Polymer; Magnetization; Composite material; Magnetic field","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":[0.0012377,0.0004711306,0.0004510081,0.0001906226,0.0001704029,0.0006773389,0.0004771204,0.0007308961,0.0005114412],"category_scores_gemma":[0.001564191,0.0003892734,0.0003310358,0.0004207717,0.0003577257,0.0005887151,0.000287585,0.0005560915,0.0003085463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005427648,"about_ca_system_score_gemma":0.0003115156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009606791,"about_ca_topic_score_gemma":0.001214204,"domain_scores_codex":[0.9991707,0.0001583036,0.00004548053,0.0001687589,0.0003030843,0.0001536285],"domain_scores_gemma":[0.9989195,0.0006600303,0.0001973205,0.00007513678,0.0001046595,0.00004339999],"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":[0.00008698406,0.00004783209,0.0002473584,0.00002118904,0.000005910664,0.0000285843,0.0000525671,0.0007040174,0.9977778,0.00008687024,0.0000188532,0.0009221055],"study_design_scores_gemma":[0.000005882091,0.000166332,0.0007596994,0.000001227728,0.000007200864,0.0000251332,0.00001124344,0.006161549,0.9926259,0.00001570951,0.0002129727,0.000007120032],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920714,0.0003209649,0.006796567,0.0000402833,0.000006265146,0.00006344323,0.00008688531,0.00004877786,0.000565421],"genre_scores_gemma":[0.9888747,0.0005463873,0.009008111,0.00004073805,0.000008310073,0.0001108142,0.0001444196,0.00003941349,0.001227143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0012377,"threshold_uncertainty_score":0.006545663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01482211380732681,"score_gpt":0.201556470321134,"score_spread":0.1867343565138072,"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."}}