{"id":"W2594639355","doi":"","title":"Amplification characteristics of the slow light SOA for boosting single-mode power of VCSEL","year":2016,"lang":"en","type":"article","venue":"The Japan Society of Applied Physics","topic":"Semiconductor Lasers and Optical Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Materials science; Boosting (machine learning); Vertical-cavity surface-emitting laser; Optoelectronics; Single-mode optical fiber; Optics; Laser; Computer science; Physics; Artificial intelligence","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":[0.0002338355,0.0002989552,0.000212809,0.000305986,0.0003004227,0.0004039422,0.000433298,0.0003214852,0.001990664],"category_scores_gemma":[0.0004898025,0.000215828,0.0002506528,0.0002589905,0.0002595442,0.0003907746,0.0002027007,0.0002650637,0.0003715662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004731175,"about_ca_system_score_gemma":0.0004013347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001705926,"about_ca_topic_score_gemma":0.00340257,"domain_scores_codex":[0.9998178,0.00001391316,0.000007652007,0.00004120206,0.00007001245,0.00004953101],"domain_scores_gemma":[0.9994696,0.0001741037,0.00006392018,0.00003327026,0.0002001843,0.00005907102],"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":[0.0001816841,0.00001344978,0.0006493036,0.00002458236,0.000006369004,0.00003345937,0.00007066481,0.0003247377,0.9964881,0.0002468811,0.00008656481,0.001874146],"study_design_scores_gemma":[0.00002911896,0.0005333518,0.00653257,0.000008966035,0.0000407366,0.0001598909,0.00007041648,0.03274356,0.9580122,0.000331164,0.001510732,0.00002725953],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937974,0.0002508868,0.003030912,0.0001093063,0.00004681615,0.00001305546,0.00008285458,0.00009437111,0.002574506],"genre_scores_gemma":[0.9984927,0.00007469326,0.0005305614,0.00001232272,0.00001394925,0.000005311854,0.00002300367,0.00001041616,0.0008369865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001990664,"threshold_uncertainty_score":0.006659448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01418037646740548,"score_gpt":0.2101290609252436,"score_spread":0.1959486844578381,"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."}}