{"id":"W3092232085","doi":"10.1364/noma.2020.nom4g.4","title":"Air Gap/InP Distributed Bragg Reflectors for Mid-Infrared Applications","year":2020,"lang":"en","type":"article","venue":"OSA Advanced Photonics Congress (AP) 2020 (IPR, NP, NOMA, Networks, PVLED, PSC, SPPCom, SOF)","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Infrared; Transfer-matrix method (optics); Optoelectronics; Materials science; Air gap (plumbing); Distributed Bragg reflector; Reflectivity; Optics; Distributed Bragg reflector laser; Transfer matrix; Fiber Bragg grating; Computer science; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0002604761,0.001342605,0.00146672,0.0001112284,0.001199041,0.0002934544,0.002074408,0.0008327506,0.002006796],"category_scores_gemma":[0.0002531181,0.001529496,0.0007685329,0.001699471,0.0004298316,0.000537286,0.000498669,0.001533821,0.0001919236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005988086,"about_ca_system_score_gemma":0.0003941339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003578297,"about_ca_topic_score_gemma":0.00009647893,"domain_scores_codex":[0.9931957,0.00009887097,0.00165526,0.002435374,0.0006694299,0.001945431],"domain_scores_gemma":[0.9936958,0.001069793,0.001038864,0.002427666,0.0005310886,0.001236765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007396025,0.00318556,0.004137652,0.002673703,0.003078236,0.0002021196,0.001742797,0.2822278,0.3780854,0.01586883,0.2904079,0.01099397],"study_design_scores_gemma":[0.005366914,0.0001936168,0.00007715105,0.0001631809,0.0004590424,0.00003469741,0.0004246498,0.1449158,0.1213483,0.003116302,0.7218302,0.002070055],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1499148,0.02437818,0.6921082,0.01583529,0.005465342,0.02075762,0.02552171,0.01078694,0.05523194],"genre_scores_gemma":[0.9190886,0.003026555,0.03116591,0.004656468,0.002365555,0.01683319,0.01766951,0.0008781733,0.004316063],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7691738,"threshold_uncertainty_score":0.9999325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01545615710405331,"score_gpt":0.276682256581363,"score_spread":0.2612260994773097,"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."}}