{"id":"W4386784618","doi":"10.1007/978-3-031-34742-9","title":"Advances in Near-Field Optics","year":2023,"lang":"en","type":"book","venue":"Springer series in optical sciences/SPringer series in optical sciences","topic":"Near-Field Optical Microscopy","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"Air Force Office of Scientific Research; Natural Sciences and Engineering Research Council of Canada; Queen's University; Agence Nationale de la Recherche; Strong; Alexander von Humboldt-Stiftung","keywords":"Nanophotonics; Field (mathematics); Physical optics; Plasmon; Optics; Style (visual arts); Engineering physics; Physics; Art; Visual arts","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","sts","scholarly_communication","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.003203327,0.001387819,0.001833338,0.001148587,0.0005193377,0.001335105,0.003748507,0.001368592,0.0004228267],"category_scores_gemma":[0.002007918,0.001327125,0.0003033361,0.004041463,0.008381275,0.003292159,0.001826327,0.003159848,0.0004249589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009776773,"about_ca_system_score_gemma":0.0007836648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007107574,"about_ca_topic_score_gemma":0.002239858,"domain_scores_codex":[0.9896279,0.0001144504,0.002243014,0.002436365,0.002072931,0.003505328],"domain_scores_gemma":[0.9960051,0.002029065,0.0001921699,0.001015236,0.0001095352,0.000648912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003306349,0.0003977471,0.009402277,0.001627308,0.0000559169,0.001871302,0.001819124,0.1214956,0.00093947,0.832285,0.0006665679,0.029109],"study_design_scores_gemma":[0.006643377,0.01190812,0.03415686,0.02048067,0.000328522,0.0007033402,0.009193151,0.1481002,0.02577494,0.4998226,0.216503,0.02638519],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04509,0.002823643,0.0007128916,0.002579628,0.006453998,0.001456275,0.00002466284,0.001017222,0.9398417],"genre_scores_gemma":[0.5259009,0.04815469,0.3088219,0.001456044,0.003078044,0.001462164,0.00004097057,0.001203476,0.1098819],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8299598,"threshold_uncertainty_score":0.9999278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01369810220445934,"score_gpt":0.2710672691622149,"score_spread":0.2573691669577556,"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."}}