{"id":"W1534743701","doi":"10.1109/leos.1993.379191","title":"Cross-section optimisation in NARROW harmonic surface emission waveguides","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Fiber Laser Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal; Institute for Microstructural Sciences","funders":"","keywords":"Resonance (particle physics); Cross section (physics); Harmonic; Nonlinear system; Waveguide; Surface (topology); Second-harmonic generation; Materials science; Layer (electronics); Nonlinear optics; Optoelectronics; Section (typography); Physics; Optics; Analytical Chemistry (journal); Atomic physics; Chemistry; Computer science; Nanotechnology; Acoustics; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000414671,0.000594013,0.0003435038,0.0002229427,0.0002514391,0.0004631843,0.0003347898,0.0002897981,0.0008590615],"category_scores_gemma":[0.0004409472,0.0003694378,0.0002871784,0.0001948377,0.0002453138,0.0003185539,0.0005356406,0.0003484119,0.0003451393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005634666,"about_ca_system_score_gemma":0.0001904751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008144198,"about_ca_topic_score_gemma":0.00107801,"domain_scores_codex":[0.9997776,0.00003395439,0.00001340884,0.00004894545,0.00009167957,0.00003434088],"domain_scores_gemma":[0.9996037,0.000123143,0.000113105,0.00003894686,0.00009507913,0.00002607254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003109873,0.000008079572,0.000208485,0.00003429451,0.000009128624,0.00002820572,0.000021612,0.004550027,0.9930225,0.0002348461,0.00004311059,0.001808656],"study_design_scores_gemma":[0.000007996052,0.00005290032,0.0006652228,0.000002423812,0.00001192588,0.00005712447,0.000008163734,0.005932383,0.9921688,0.00006303818,0.001022434,0.00000750616],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96334,0.000840581,0.03164504,0.00008035783,0.00001944459,0.00003375834,0.00008615186,0.0003086364,0.003646072],"genre_scores_gemma":[0.9517916,0.0007534818,0.04354413,0.00004445896,0.00001145662,0.00006460862,0.0001444873,0.0002355979,0.003410156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008590615,"threshold_uncertainty_score":0.004088283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02461006885286301,"score_gpt":0.2732312845386421,"score_spread":0.2486212156857791,"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."}}