{"id":"W2070579844","doi":"10.1063/1.3073828","title":"Synthesis of surface enhanced Raman scattering active magnetic nanoparticles for cell labeling and sorting","year":2009,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Microstructural Sciences","funders":"","keywords":"Nanoparticle; Superparamagnetism; Raman scattering; Magnetic nanoparticles; Materials science; Nanocomposite; Nanotechnology; Silver nanoparticle; Raman spectroscopy; Chemical engineering; Optics; Magnetic field; Magnetization","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":[0.0002492099,0.00009489319,0.0002628391,0.00001698558,0.00009777948,0.00004025681,0.0001233553,0.00002606295,0.00000829802],"category_scores_gemma":[0.0000166483,0.00008070266,0.00006170812,0.0000805954,0.00004772801,0.0001024767,0.00001764677,0.00004930955,0.000002184599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001209832,"about_ca_system_score_gemma":0.00002416507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001242823,"about_ca_topic_score_gemma":2.332049e-7,"domain_scores_codex":[0.9991677,0.00001245554,0.0003893771,0.0001200106,0.0001367692,0.0001737284],"domain_scores_gemma":[0.9991009,0.0002145313,0.0004312955,0.0001025743,0.00008999216,0.00006074961],"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":[0.00008451185,0.0001255256,0.00001032728,0.00002809974,0.000004286404,1.580627e-7,0.000431667,0.002369828,0.9739447,0.000720725,0.000008583295,0.02227155],"study_design_scores_gemma":[0.0002915489,0.0001011838,0.0002319316,0.0000477998,0.00005933971,9.052866e-7,0.0003838389,0.0005310377,0.9941267,0.004124797,0.0000130704,0.00008779123],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988748,0.00007297636,0.0005611091,0.0000672622,0.00002472488,0.0001276724,0.000006375196,0.000007798808,0.0002572381],"genre_scores_gemma":[0.9898838,0.0000230685,0.009963009,0.00003760199,0.00007524184,0.000004975728,1.727119e-7,0.000008464166,0.000003630688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02218376,"threshold_uncertainty_score":0.3290959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217456098191489,"score_gpt":0.2328696932485197,"score_spread":0.2206951322666048,"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."}}