{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006485277,0.0001936195,0.000310825,0.000001471131,0.0001063513,0.00006939585,0.0005862571,0.00009376099,0.02910089],"category_scores_gemma":[0.00007507316,0.0001782668,0.0001045551,0.0003167705,0.00006580097,0.0001796274,0.0002010646,0.0002356936,0.0001014967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001468187,"about_ca_system_score_gemma":0.0002311198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002090622,"about_ca_topic_score_gemma":0.00004717663,"domain_scores_codex":[0.9987411,0.00003000441,0.0003624338,0.0003967586,0.000210505,0.0002592223],"domain_scores_gemma":[0.9988855,0.0001571017,0.0002053808,0.0004785533,0.00009188258,0.0001816006],"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":[0.00004732193,0.0002567792,0.00678678,0.0000871114,0.0001413033,0.00001221275,0.0003445222,0.0001107065,0.973251,0.00967729,0.008785576,0.0004993249],"study_design_scores_gemma":[0.001820058,0.0001488295,0.003454443,0.00008907589,0.0001588521,0.000008461997,0.001299282,0.01608616,0.9342791,0.0004217963,0.04177978,0.0004541266],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9010287,0.0001876624,0.005022249,0.001400957,0.00004826011,0.0003782892,0.0002700152,0.0001410817,0.09152278],"genre_scores_gemma":[0.9852101,0.00006395083,0.01225036,0.000430377,0.00008696844,0.0001120516,0.000267342,0.00002938674,0.001549501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08997328,"threshold_uncertainty_score":0.9717866,"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."}}