{"id":"W1983804474","doi":"10.1109/jstars.2014.2382336","title":"Measuring Stratospheric H<sub>2</sub>O With an Airborne Spectrometer: Simulation With Realistic Detector Characteristics","year":2015,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"ABB (Canada); McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Noise (video); Remote sensing; Detector; Sensitivity (control systems); Computer science; Tropopause; Spectrometer; Environmental science; Stratosphere; Artificial intelligence; Physics; Meteorology; Optics; Electronic engineering; Engineering; Geology; Telecommunications","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":[0.0005100085,0.0003933801,0.0004195151,0.0002102316,0.0003723087,0.0006411402,0.0007006553,0.001337249,0.0006681481],"category_scores_gemma":[0.001687603,0.0002737311,0.0005238716,0.0004073238,0.0004174341,0.0008691852,0.000324737,0.000519548,0.000104621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008812833,"about_ca_system_score_gemma":0.0007774245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03578015,"about_ca_topic_score_gemma":0.01709162,"domain_scores_codex":[0.999822,0.00004917924,0.000008290058,0.0000373225,0.00004330147,0.00003999133],"domain_scores_gemma":[0.9992037,0.0005226436,0.00006994523,0.0000593042,0.0001127365,0.0000317719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005803719,0.00005064397,0.004386452,0.00002854696,0.00001577872,0.00006742629,0.00004066824,0.9906877,0.002616179,0.0005001862,0.000105621,0.001442876],"study_design_scores_gemma":[0.00003249953,0.00005118162,0.00130495,0.000003940539,0.000008881056,0.00001785032,0.00003419392,0.9969261,0.001263649,0.0001671841,0.0001811261,0.000008394682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.971667,0.0001312782,0.02159209,0.0002616135,0.00002553387,0.00006228728,0.0004586145,0.0001654154,0.005636239],"genre_scores_gemma":[0.9932624,0.0001000471,0.005866913,0.00003552752,0.000004383134,0.0000256725,0.0001778712,0.00001783904,0.0005094662],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03578015,"threshold_uncertainty_score":0.07114381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03835710989668498,"score_gpt":0.214530782439865,"score_spread":0.17617367254318,"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."}}