{"id":"W2938973520","doi":"10.1557/adv.2018.1","title":"Computational Electrodynamics - A Powerful Tool for Nanophotonics and Microscopy","year":2018,"lang":"en","type":"article","venue":"MRS Advances","topic":"Near-Field Optical Microscopy","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Nanophotonics; Microscopy; Nanotechnology; Engineering physics; Optics; Physics","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":[0.0005165841,0.0007743613,0.000940886,0.0006218623,0.0007296581,0.001957744,0.001130381,0.0009538366,0.005760044],"category_scores_gemma":[0.00148195,0.000608963,0.0005647665,0.0005636641,0.001289218,0.002210887,0.001695188,0.002398871,0.001233923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004259573,"about_ca_system_score_gemma":0.0006760065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009178122,"about_ca_topic_score_gemma":0.001072448,"domain_scores_codex":[0.9997938,0.0000447288,0.000007574508,0.00002232735,0.000116328,0.00001520599],"domain_scores_gemma":[0.9996293,0.000210338,0.00001808439,0.00006700946,0.00003943346,0.00003586874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006504582,0.00007409518,0.0003970731,0.0003591271,0.0001255714,0.0001272053,0.0001147809,0.2059757,0.01184713,0.6836451,0.01496832,0.08230086],"study_design_scores_gemma":[0.00003310445,0.0000121399,0.000147778,0.00004315465,0.00001368479,0.00004294683,0.00002240526,0.6640682,0.003729606,0.3064283,0.02543586,0.00002276156],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.009936533,0.002916364,0.950152,0.0023331,0.0005764361,0.00007142682,0.0005144335,0.002173343,0.03132639],"genre_scores_gemma":[0.2885188,0.007055419,0.681233,0.000752836,0.0005926533,0.0004831736,0.000880379,0.001512518,0.01897116],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.005760044,"threshold_uncertainty_score":0.01926929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002795240056354665,"score_gpt":0.2465247434330909,"score_spread":0.2437295033767362,"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."}}