{"id":"W4251277784","doi":"10.1109/lpt.2017.2778981","title":"IEEE Photonics Technology Letters publication information","year":2017,"lang":"en","type":"article","venue":"IEEE Photonics Technology Letters","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Photonics; Computer science; Optoelectronics; Materials science","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"],"consensus_categories":[],"category_scores_codex":[0.0003054378,0.0004919834,0.0005067097,0.001182068,0.0005740288,0.0003410196,0.002083801,0.0008498775,0.00004013262],"category_scores_gemma":[0.0002002066,0.0005317155,0.0001428524,0.0006266893,0.0008284341,0.001524643,0.000166404,0.001201861,0.000707995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003573562,"about_ca_system_score_gemma":0.00005369121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000025813,"about_ca_topic_score_gemma":0.00003019859,"domain_scores_codex":[0.9974473,0.00001438431,0.0007487863,0.0004656492,0.0003362007,0.0009876597],"domain_scores_gemma":[0.9971527,0.00004544879,0.0003722047,0.002145509,0.000152568,0.0001315885],"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":[0.00003543099,0.00008949747,0.00166448,0.0002381734,0.0004021766,0.00006675049,0.0002263634,0.004915442,0.9433455,0.01232726,0.02221149,0.01447745],"study_design_scores_gemma":[0.00154519,0.00008169746,0.0006465385,0.00009846958,0.0001137537,0.0001524474,0.0001106141,0.1319626,0.7008379,0.001635085,0.1615107,0.001305041],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9516583,0.0001898107,0.008192208,0.02902622,0.002191787,0.0006984388,0.00005036365,0.00318842,0.004804452],"genre_scores_gemma":[0.9898421,0.0003374855,0.005298821,0.003987606,0.00004304218,0.00035592,0.00003338003,0.00007611122,0.00002556688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2425076,"threshold_uncertainty_score":0.9997134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00713462012214005,"score_gpt":0.2168768325902133,"score_spread":0.2097422124680733,"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."}}