{"id":"W2051353243","doi":"10.1007/s00340-014-6001-0","title":"Remote ambient methane monitoring using fiber-optically coupled optical sensors","year":2015,"lang":"en","type":"article","venue":"Applied Physics B","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Allan variance; Optics; Materials science; Methane; Calibration; Laser; Optical fiber; Fiber optic sensor; System of measurement; Spectroscopy; Wavelength; Standard deviation; Environmental science; Remote sensing; Optoelectronics; Physics; Chemistry","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":[0.0001215729,0.000220726,0.0002514703,0.00001780851,0.00009394471,0.00004894087,0.0002152663,0.0001210512,0.0001262303],"category_scores_gemma":[0.00002025636,0.0002350985,0.00007671565,0.0002108229,0.00009225473,0.00005269974,0.00009784426,0.0003113182,0.0003371821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001725604,"about_ca_system_score_gemma":0.00009564123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005676852,"about_ca_topic_score_gemma":5.063609e-7,"domain_scores_codex":[0.9985824,0.000006684516,0.0002476214,0.0003929946,0.0003709913,0.0003992635],"domain_scores_gemma":[0.9988787,0.0001057905,0.00008156731,0.0005566847,0.00008626235,0.0002909691],"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":[0.00006130205,0.0001237642,0.00004894731,0.00002455055,0.00005841843,0.000004840602,0.0002227175,0.006874439,0.9826303,0.008342411,0.00004711094,0.001561213],"study_design_scores_gemma":[0.0006472798,0.00001109439,0.00002668329,0.00001932186,0.0001003747,0.000005470904,0.0002850511,0.0381243,0.9547374,0.004849983,0.0008876601,0.0003053415],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9410473,0.00002098285,0.009738753,0.00004692334,0.00006724659,0.0001203651,0.000007018007,0.0001875708,0.04876385],"genre_scores_gemma":[0.9733962,0.000003579358,0.0252919,0.00002394376,0.0008340774,0.00002177218,0.00002599239,0.00005081437,0.0003517396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04841211,"threshold_uncertainty_score":0.9587039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04206013768410585,"score_gpt":0.3006266244994862,"score_spread":0.2585664868153804,"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."}}