{"id":"W3004817120","doi":"10.3390/atmos11020184","title":"Assessment of Open-path Spectrometer Accuracy at Low Path-integrated Methane Concentrations","year":2020,"lang":"en","type":"article","venue":"Atmosphere","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Guelph","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Path (computing); Path length; Greenhouse gas; Range (aeronautics); Calibration; Environmental science; Spectrometer; Optical path; Physics; Materials science; Mathematics; Optics; Statistics; Computer science; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005306023,0.0008103785,0.0005183828,0.0008733653,0.0009280029,0.001242516,0.002065144,0.001686747,0.002776051],"category_scores_gemma":[0.01241748,0.0005225076,0.0004654322,0.001034038,0.0009081898,0.001754299,0.001521608,0.0010697,0.00101133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001151848,"about_ca_system_score_gemma":0.0008957688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005038111,"about_ca_topic_score_gemma":0.008119224,"domain_scores_codex":[0.9953024,0.0006603384,0.0001953946,0.001063634,0.002491651,0.0002865575],"domain_scores_gemma":[0.9921963,0.003043476,0.0005460197,0.0009747649,0.003137796,0.0001017055],"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":[0.001016105,0.0002522336,0.0311771,0.0004442498,0.000167762,0.000190775,0.0008555768,0.006074915,0.8885083,0.002109847,0.001069243,0.06813395],"study_design_scores_gemma":[0.00004099523,0.0006534755,0.03114824,0.00007076008,0.0001086693,0.0003835844,0.0003215538,0.03317394,0.9237167,0.00163445,0.008643869,0.0001036568],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.738114,0.002908893,0.244629,0.0006691364,0.0005175922,0.0002277861,0.001590598,0.003341274,0.00800178],"genre_scores_gemma":[0.8634174,0.0006580081,0.1310059,0.0003031546,0.00003045256,0.0001827609,0.0009539975,0.0003723684,0.003075845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005306023,"threshold_uncertainty_score":0.02806127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01921635407987296,"score_gpt":0.3097347466338987,"score_spread":0.2905183925540257,"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."}}