{"id":"W3092217717","doi":"10.5194/amt-14-1733-2021","title":"Performance of open-path GasFinder3 devices for CH <sub>4</sub> concentration measurements close to ambient levels","year":2021,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesamt für Umwelt; Agroscope","keywords":"Dispersion (optics); Environmental science; Laser; Chemistry; Inverse; Analytical Chemistry (journal); Atmospheric sciences; Physics; Mathematics; Environmental chemistry; Optics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001241087,0.0003902375,0.0004533108,0.000002347952,0.000246837,0.0001002789,0.0007103047,0.0001360295,0.000295492],"category_scores_gemma":[0.00008747714,0.0003866678,0.0001302353,0.0004761757,0.0001432207,0.0005710092,0.0005647409,0.0001251892,0.0000363229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009927209,"about_ca_system_score_gemma":0.00009505322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001254382,"about_ca_topic_score_gemma":0.0001007481,"domain_scores_codex":[0.996448,0.0001122509,0.000704572,0.0007903596,0.001363944,0.0005808228],"domain_scores_gemma":[0.9986531,0.00002415471,0.0003340176,0.0006311157,0.0001295804,0.0002279949],"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":[0.0001177114,0.0004873486,0.08532635,0.00007898684,0.00006678273,0.000003022457,0.0002073692,0.002827076,0.8050183,0.00004563721,0.001574132,0.1042473],"study_design_scores_gemma":[0.0006841731,0.0006676727,0.1046163,0.0002021458,0.00008662535,0.000007386273,0.00014505,0.003309557,0.8840514,0.0001314721,0.005525798,0.0005724431],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9357442,0.0001051342,0.05862818,0.0001882022,0.0001587251,0.002065017,0.000008464167,0.0001248854,0.002977231],"genre_scores_gemma":[0.8080029,0.00009564696,0.1905529,0.0007221694,0.00002943812,0.0004408729,0.00001080341,0.00004734987,0.00009786421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1319247,"threshold_uncertainty_score":0.9998585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03994819404166798,"score_gpt":0.2569230582524438,"score_spread":0.2169748642107758,"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."}}