{"id":"W2540485708","doi":"10.1364/ol.41.005059","title":"High-efficiency apodized-imaging chip-fiber grating coupler for silicon nitride waveguides","year":2016,"lang":"en","type":"article","venue":"Optics Letters","topic":"Advanced Fiber Laser Technologies","field":"Physics and Astronomy","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Ministerio de Economía y Competitividad; National Natural Science Foundation of China","keywords":"Optics; Grating; Materials science; Blazed grating; Apodization; Waveguide; Fiber Bragg grating; Optoelectronics; Silicon nitride; Wavelength; Diffraction grating; Silicon; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.00011758,0.0002416029,0.0002312643,0.00008487975,0.0001890874,0.00006171837,0.0002810572,0.0000365689,0.00007381284],"category_scores_gemma":[0.0000548368,0.0001800183,0.0001179734,0.0001196206,0.0001642929,0.0002380446,0.00009824149,0.00012442,0.00004733547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004830903,"about_ca_system_score_gemma":0.00001923623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001959528,"about_ca_topic_score_gemma":6.865804e-7,"domain_scores_codex":[0.9986518,0.0000114187,0.0002999425,0.000378865,0.0001467921,0.0005111872],"domain_scores_gemma":[0.9990362,0.0002897138,0.0001625924,0.0003918623,0.00006709656,0.00005257118],"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":[0.00003283141,0.0001070295,0.0101082,0.00002838362,0.00009913782,0.00000562393,0.0001252664,0.001659343,0.8371125,0.0547993,0.00467097,0.09125136],"study_design_scores_gemma":[0.005288974,0.0001152297,0.0009680215,0.0003163685,0.0001677517,0.000004644063,0.0006959682,0.009609973,0.9307405,0.03433879,0.0158561,0.001897629],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6860948,0.00001988079,0.3065352,0.005865902,0.0001949123,0.0003438857,0.00009827237,0.0002273545,0.0006198667],"genre_scores_gemma":[0.944599,0.000001919261,0.05403796,0.0004621805,0.0002898911,0.0001059504,0.00002046309,0.00005246362,0.0004301605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2585042,"threshold_uncertainty_score":0.7340934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00908713446156063,"score_gpt":0.2339821441012717,"score_spread":0.2248950096397111,"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."}}