{"id":"W3122545935","doi":"10.20944/preprints201807.0587.v1","title":"Magneto-Optic Surface Plasmon Resonance Ti/Au/Co/Au/Pc Configuration and Sensitivity","year":2018,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"University of California, San Diego; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Materials science; Surface plasmon resonance; Analytical Chemistry (journal); Magnetic field; Microstructure; Magnetization; Adsorption; Spinel; Biosensor; Layer (electronics); Optoelectronics; Nanoparticle; Nanotechnology; Chemistry; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001906023,0.0007097207,0.0007950001,0.0001650173,0.0002426765,0.00009275357,0.0003796298,0.0008484648,0.0004855114],"category_scores_gemma":[0.0003828599,0.0007966412,0.0001587669,0.0001789555,0.0003909186,0.0002370412,0.0009464927,0.001789404,0.002863881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006731369,"about_ca_system_score_gemma":0.0004115142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009587971,"about_ca_topic_score_gemma":0.000369538,"domain_scores_codex":[0.9959892,0.0003214382,0.0006613241,0.001288863,0.0007150593,0.001024084],"domain_scores_gemma":[0.9973957,0.0004856841,0.0001565957,0.001360384,0.000212611,0.0003890407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000328254,0.0001692817,0.7581141,0.00192254,0.0004374546,0.0004185507,0.00323348,0.1529649,0.07854742,0.0002954456,0.001560744,0.002007852],"study_design_scores_gemma":[0.000777572,0.00005415218,0.4686668,0.0004801005,0.00007508331,0.00008632986,0.0001389595,0.3232713,0.1934742,0.0002874009,0.01134071,0.001347412],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658203,0.0004688386,0.000434777,0.0001804184,0.000856413,0.0008551892,0.0001765873,0.0005519036,0.03065564],"genre_scores_gemma":[0.9949546,0.000925,0.0008861815,0.00002281152,0.00009482044,0.00005928849,0.0001267233,0.0001147852,0.002815744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2894473,"threshold_uncertainty_score":0.9994485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07019024514562446,"score_gpt":0.3121838868818748,"score_spread":0.2419936417362503,"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."}}