{"id":"W3123355205","doi":"","title":"Nonlinear arcsin-electrodynamics","year":2016,"lang":"en","type":"article","venue":"","topic":"Laser-Plasma Interactions and Diagnostics","field":"Physics and Astronomy","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Physics; Quantum electrodynamics; Electric field; Electromagnetic field; Magnetic field; Symmetry (geometry); Point particle; Nonlinear system; Classical electromagnetism; Birefringence; Electric charge; Classical mechanics; Condensed matter physics; Quantum mechanics; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00002169516,0.00007039276,0.00006285573,0.00002415263,0.0000461021,0.00002259142,0.00006589239,0.00001408222,0.01041925],"category_scores_gemma":[0.00000850723,0.00004099168,0.00004973877,0.00004916526,0.00001826467,0.0000944209,0.00002027351,0.00004076998,0.002554563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001404221,"about_ca_system_score_gemma":0.00002507605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001195264,"about_ca_topic_score_gemma":0.00001771973,"domain_scores_codex":[0.9995785,0.000006179853,0.00009605917,0.0001104645,0.00005361667,0.000155211],"domain_scores_gemma":[0.9996035,0.0001330571,0.00002524637,0.0001421554,0.0000443071,0.00005177575],"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":[0.00003724042,0.001009958,0.09304548,0.000006410537,0.0001665137,0.0000059254,0.00004259942,0.00006178817,0.02318497,0.6846287,0.06138682,0.1364236],"study_design_scores_gemma":[0.001726118,0.000234098,0.00312924,0.00006326549,0.00005280949,0.000005547615,0.0001411442,0.004302591,0.1446647,0.02895849,0.8160709,0.0006510382],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4694402,0.000001137497,0.1569496,0.001632473,0.0003995267,0.00009534776,0.00008783266,0.00007752141,0.3713164],"genre_scores_gemma":[0.9718781,0.000002129585,0.00295179,0.00006335275,0.0002645509,0.000007163368,0.00001186955,0.00001001977,0.02481109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7546841,"threshold_uncertainty_score":0.9982221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005773484997622195,"score_gpt":0.2360042415734492,"score_spread":0.230230756575827,"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."}}