{"id":"W2042488374","doi":"10.1364/oe.20.020228","title":"Non-paraxial TM_01 and TE_01 from Laguerre-Gauss angular spectrum","year":2012,"lang":"en","type":"article","venue":"Optics Express","topic":"Orbital Angular Momentum in Optics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Laguerre polynomials; Optics; Paraxial approximation; Physics; Angular spectrum method; Gauss; Azimuth; Bandwidth (computing); Diffraction; Telecommunications; Quantum mechanics","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"],"consensus_categories":[],"category_scores_codex":[0.0001033853,0.0002533786,0.0002572816,0.00004380746,0.0001238936,0.0001176273,0.0002090108,0.00007396004,0.0005071026],"category_scores_gemma":[0.000004328032,0.0002476968,0.00008776952,0.00007919204,0.00009676158,0.0002994857,0.0001897837,0.000209355,0.0001699494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002056543,"about_ca_system_score_gemma":0.00001454524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002465898,"about_ca_topic_score_gemma":0.000001727712,"domain_scores_codex":[0.9987012,0.00002222267,0.0002286896,0.000272562,0.0002271844,0.0005481146],"domain_scores_gemma":[0.9991507,0.00005337078,0.00009345317,0.0004190879,0.00002574013,0.0002576651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001938043,0.003082861,0.6084667,0.0001312348,0.001247346,0.00004998572,0.01241792,0.0003298395,0.1222299,0.2301845,0.009335396,0.01233039],"study_design_scores_gemma":[0.01181971,0.0007765707,0.1059961,0.0003923303,0.001329992,0.00002891675,0.01278665,0.01955987,0.6018236,0.09419239,0.1443105,0.00698335],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9568492,0.0003014332,0.004284978,0.0001129067,0.0007775773,0.0002242567,0.0001616155,0.00004097024,0.03724702],"genre_scores_gemma":[0.9906758,0.000005939008,0.005916815,0.00003759619,0.002038955,0.0000215196,0.00009896379,0.00004581348,0.001158615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5024706,"threshold_uncertainty_score":0.9999976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007700358377594673,"score_gpt":0.223936638204684,"score_spread":0.2162362798270893,"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."}}