{"id":"W7073949738","doi":"","title":"Intercomparison of slant column measurements of NO[subscript 2] and O[subscript 4] by MAX-DOAS and zenith-sky UV and visible spectrometers","year":2010,"lang":"en","type":"article","venue":"Figshare","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Environment Research Council; National Research Foundation; University of Toronto; National Research Foundation of Korea; Ministry of Education, Culture, Sports, Science and Technology; Centre National d’Etudes Spatiales; Centre National de la Recherche Scientifique; Belgian Federal Science Policy Office; National Aeronautics and Space Administration; Washington State University; Universität Bremen; British Antarctic Survey; Universität Heidelberg","keywords":"Zenith; Spectrometer; Troposphere; Twilight; Wavelength; Stratosphere; Range (aeronautics); Measuring instrument","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002004171,0.0006628573,0.0006037094,0.001043657,0.0005776506,0.0007860523,0.0007275167,0.000349101,0.0005148118],"category_scores_gemma":[0.00170637,0.0004089758,0.0003903057,0.001179118,0.0001882752,0.0005221273,0.0008099063,0.0002799736,0.000191198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008983052,"about_ca_system_score_gemma":0.000858568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04972398,"about_ca_topic_score_gemma":0.1097002,"domain_scores_codex":[0.9988692,0.000256099,0.00005819721,0.0004132363,0.0003043865,0.00009880268],"domain_scores_gemma":[0.999319,0.00009689424,0.00009271001,0.0001182845,0.0003244469,0.00004869821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001971841,0.0002676021,0.6845701,0.0003198587,0.001094062,0.000185236,0.002097722,0.009562609,0.1807359,0.0004903174,0.005029832,0.113675],"study_design_scores_gemma":[0.00007440277,0.0001669078,0.9592271,0.00003129764,0.0001641959,0.00005966003,0.0003024861,0.01111708,0.01895017,0.0002443613,0.009623505,0.0000389058],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771368,0.001159256,0.01327887,0.0001049302,0.0001363939,0.00009963728,0.002872682,0.0004811668,0.004730273],"genre_scores_gemma":[0.9667637,0.0002492318,0.02332322,0.0001412856,0.00003441695,0.00009144076,0.00799353,0.0001041701,0.001298925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04972398,"threshold_uncertainty_score":0.09886909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0628531457138516,"score_gpt":0.2124232473571719,"score_spread":0.1495701016433202,"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."}}