{"id":"W3216744388","doi":"10.1021/acs.langmuir.1c02078","title":"Hierarchical Magnetic Films for High-Performance Plasmonic Sensors","year":2021,"lang":"en","type":"article","venue":"Langmuir","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland","keywords":"Plasmon; Raman spectroscopy; Surface-enhanced Raman spectroscopy; Materials science; Substrate (aquarium); Fabrication; Plasmonic nanoparticles; Analyte; Nanotechnology; Magnetic field; Adsorption; Magnetic nanoparticles; Optoelectronics; Nanoparticle; Analytical Chemistry (journal); Chemistry; Raman scattering; Optics; Chromatography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001304191,0.0004029495,0.0001515239,0.0002370415,0.0001575591,0.0003226804,0.0003938524,0.000431541,0.001062204],"category_scores_gemma":[0.0002520382,0.0002132057,0.0001447838,0.0001270135,0.0001326343,0.0002823892,0.0002373921,0.0004349718,0.0007545908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003239296,"about_ca_system_score_gemma":0.0001118865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004521419,"about_ca_topic_score_gemma":0.001341164,"domain_scores_codex":[0.9998325,0.00002273536,0.00001012619,0.00003772779,0.00007385115,0.00002294247],"domain_scores_gemma":[0.9999164,0.00001688566,0.00001994252,0.00001011409,0.00002528442,0.0000114019],"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":[0.00001232236,0.00001130617,0.0000668712,0.00007033283,0.000004879376,0.00003225115,0.000008448391,0.0001836603,0.9951019,0.0002387949,0.0001957825,0.004073421],"study_design_scores_gemma":[0.0000112645,0.00009955498,0.0006565211,0.000008088604,0.000009831028,0.000134391,0.00001636922,0.00425723,0.9877762,0.0001165683,0.006907665,0.000006370761],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7532479,0.01630624,0.1943906,0.001252628,0.0005453907,0.0003224353,0.0008054592,0.003846204,0.02928314],"genre_scores_gemma":[0.9338845,0.00157997,0.05925805,0.0001759007,0.00005879423,0.00006759776,0.0002727439,0.00005783465,0.004644619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001062204,"threshold_uncertainty_score":0.00355345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01318392163985539,"score_gpt":0.2246910766023237,"score_spread":0.2115071549624682,"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."}}