{"id":"W4302366474","doi":"10.5445/ir/110071494","title":"MIPAS: an instrument for atmospheric and climate research","year":2008,"lang":"en","type":"article","venue":"Repository KITopen (Karlsruhe Institute of Technology)","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"ABB (Canada)","funders":"Natural Environment Research Council; Bundesministerium für Bildung und Forschung","keywords":"Atmospheric research; Environmental science; Atmospheric pollution; Remote sensing; Atmospheric sciences; Meteorology; Geography; Physics; Pollution","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001491528,0.001357744,0.001111767,0.001795033,0.0005728719,0.001866916,0.00192765,0.0009693145,0.0128491],"category_scores_gemma":[0.001414747,0.0004373083,0.000912094,0.002875685,0.0002754527,0.00184863,0.001784229,0.001908867,0.01208964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006217877,"about_ca_system_score_gemma":0.00172282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007558783,"about_ca_topic_score_gemma":0.004460492,"domain_scores_codex":[0.9987177,0.0002070727,0.00005300841,0.0002660789,0.0006181701,0.000138072],"domain_scores_gemma":[0.9991398,0.00005299386,0.0001276743,0.0002082028,0.0003528855,0.0001184239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003987641,0.0001293979,0.01051825,0.0004671128,0.000412515,0.0001394164,0.0001133091,0.005274314,0.01282275,0.006324576,0.8610867,0.1023129],"study_design_scores_gemma":[0.0002079727,0.00007790547,0.02281137,0.0001002368,0.0001178434,0.0001002133,0.0001017473,0.02381567,0.006992735,0.00505022,0.9405157,0.0001083515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.02492935,0.00608179,0.09660187,0.003607428,0.003038786,0.0008083091,0.6485153,0.1025792,0.113838],"genre_scores_gemma":[0.1196709,0.003160709,0.2113148,0.002114434,0.001854983,0.001185501,0.6276746,0.008119009,0.024905],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0128491,"threshold_uncertainty_score":0.04298449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04161408833282017,"score_gpt":0.281455861647067,"score_spread":0.2398417733142468,"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."}}