{"id":"W4251608620","doi":"10.32920/ryerson.14643651.v1","title":"Fibre Optic SERS Probes For Remote Sensing","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Academy of Finland","keywords":"Nanoporous; Materials science; Raman spectroscopy; Fabrication; Optical fiber; Nanoparticle; Nanotechnology; Surface plasmon resonance; Fiber; Plasmon; Nanocomposite; Colloidal gold; Optoelectronics; Optics; Composite material","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":[0.0005603467,0.0006961474,0.0004017532,0.0005286673,0.0003087154,0.0004218093,0.0007915821,0.00126938,0.006312773],"category_scores_gemma":[0.0005131221,0.0003542786,0.0004304051,0.0004480257,0.0004544432,0.0008474389,0.000602041,0.001037464,0.003841241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006922184,"about_ca_system_score_gemma":0.0002788909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005552812,"about_ca_topic_score_gemma":0.0009820617,"domain_scores_codex":[0.9992822,0.00009366674,0.00002569846,0.0001704813,0.0003616874,0.00006625852],"domain_scores_gemma":[0.999774,0.00006178307,0.00004493288,0.00003547697,0.00007029358,0.00001349632],"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":[0.00006039417,0.00003572112,0.0002173493,0.0004105139,0.00002654487,0.0001416691,0.00006178794,0.0008967192,0.9205483,0.007141259,0.004209166,0.0662506],"study_design_scores_gemma":[0.00002353665,0.0003171568,0.0009407161,0.00008927359,0.00003579032,0.0007511858,0.00005805555,0.01351617,0.824818,0.003275309,0.1561107,0.00006405763],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1077894,0.0625679,0.7184252,0.003194972,0.002738468,0.0006598001,0.001565904,0.006905239,0.09615307],"genre_scores_gemma":[0.5619076,0.0231778,0.3473107,0.001795675,0.0006747898,0.0005214894,0.001271622,0.0003717804,0.06296854],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.006312773,"threshold_uncertainty_score":0.02111828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03266279906867778,"score_gpt":0.2702004929373528,"score_spread":0.237537693868675,"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."}}