{"id":"W1976821549","doi":"10.1117/12.2084544","title":"Frequency conversion for infrared generation in monolithic semiconductor waveguides","year":2015,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Materials science; Optoelectronics; Optics; Waveguide; Cascade; Laser; Dispersion (optics); Bandwidth (computing); Computer science; Physics; Telecommunications","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":[0.0001229088,0.0002639017,0.000127658,0.0001956527,0.000252598,0.0003618599,0.0003743648,0.0003200828,0.001761113],"category_scores_gemma":[0.000159739,0.0002001863,0.0001616783,0.0001807354,0.0002862039,0.0003998388,0.00026601,0.0005748645,0.0004489592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005990509,"about_ca_system_score_gemma":0.0002098163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003329996,"about_ca_topic_score_gemma":0.0007998709,"domain_scores_codex":[0.999877,0.000008479286,0.000004452217,0.00003359564,0.00006050279,0.00001592458],"domain_scores_gemma":[0.9999127,0.00002551186,0.00002138178,0.00001551947,0.00001701498,0.000007799423],"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":[0.000009552902,0.00001344862,0.00008291205,0.00003522599,0.000001476819,0.00001867867,0.00001863248,0.000277039,0.9910989,0.002753391,0.0001423042,0.005548416],"study_design_scores_gemma":[0.000007109471,0.00006076354,0.0004904464,0.000007150964,0.000004292238,0.0001276994,0.0000134427,0.008353577,0.9830998,0.0006770529,0.007151002,0.000007550453],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.775754,0.003913159,0.1841192,0.0008175029,0.0003677363,0.00007780195,0.0002246269,0.001043249,0.03368266],"genre_scores_gemma":[0.917044,0.0006865555,0.07671036,0.0001019248,0.0000386318,0.00004093197,0.00008526164,0.00006361513,0.005228722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001761113,"threshold_uncertainty_score":0.005891502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02332933760618348,"score_gpt":0.2523658319304092,"score_spread":0.2290364943242257,"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."}}