{"id":"W3015237724","doi":"","title":"LIFT a future atmospheric chemistry sensor","year":2004,"lang":"io","type":"article","venue":"ESASP","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"ABB (Canada)","funders":"","keywords":"Troposphere; Stratosphere; Remote sensing; Spectral resolution; Spectrometer; Environmental science; Trace gas; Lift (data mining); Atmospheric sounding; Atmospheric sciences; Meteorology; Geology; Optics; Physics; Spectral line; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001595636,0.0004115056,0.0003925318,0.000001266381,0.0003169863,0.0001582925,0.0003803442,0.000338588,0.02046411],"category_scores_gemma":[0.00002308893,0.0003621629,0.0002065713,0.000379863,0.0001525968,0.0002351266,0.00003690693,0.000450465,0.00528731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003000171,"about_ca_system_score_gemma":0.0002898525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001822276,"about_ca_topic_score_gemma":0.000176288,"domain_scores_codex":[0.9977366,0.00004095995,0.0003837108,0.0005891052,0.0004258848,0.0008237622],"domain_scores_gemma":[0.9988486,0.00004190548,0.0001707992,0.0004867671,0.00004717561,0.0004047548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001200607,0.001601512,0.3208639,0.002411841,0.00143365,0.005885259,0.01779661,0.06476391,0.003053874,0.0008706938,0.08410337,0.4960148],"study_design_scores_gemma":[0.00252784,0.0004466299,0.08695171,0.0002015924,0.0002237303,0.0003439651,0.006432024,0.003159499,0.001014651,0.0004847099,0.8966154,0.001598276],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8622571,0.01099369,0.0001693059,0.00262589,0.00191996,0.0002353979,0.0001146641,0.0001778315,0.1215062],"genre_scores_gemma":[0.9186217,0.004076484,0.019414,0.002471203,0.006609581,0.000005207971,0.0002590108,0.00005367058,0.04848919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.812512,"threshold_uncertainty_score":0.9998831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005862777694864036,"score_gpt":0.1930566130414932,"score_spread":0.1871938353466291,"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."}}