{"id":"W6969271112","doi":"10.5445/ir/1000074399","title":"CCl₄ distribution derived from MIPAS ESA v7 data: intercomparisons, trend, and lifetime estimation","year":2017,"lang":"en","type":"article","venue":"Repository KITopen (Karlsruhe Institute of Technology)","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Climate Program Office; Canadian Space Agency; National Oceanic and Atmospheric Administration; Commonwealth Scientific and Industrial Research Organisation; University of Bristol; National Aeronautics and Space Administration","keywords":"Distribution (mathematics); Estimation; Noise (video); Probability distribution; Estimation theory","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":[0.002150693,0.000509018,0.0005184317,0.002495886,0.0003598349,0.0008742607,0.001055538,0.0007509682,0.001351676],"category_scores_gemma":[0.003820712,0.0003103252,0.0008723123,0.003570227,0.0002235056,0.001414553,0.0005104304,0.0006340191,0.001492402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007941902,"about_ca_system_score_gemma":0.000571194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01483974,"about_ca_topic_score_gemma":0.006790492,"domain_scores_codex":[0.9994351,0.00005833445,0.0000426204,0.0001658991,0.0002272347,0.00007080779],"domain_scores_gemma":[0.9978639,0.0004344521,0.0003523878,0.0004271495,0.0008631612,0.00005900364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001244336,0.0003047838,0.6520827,0.0004590635,0.001248819,0.0003884539,0.0005176656,0.1035918,0.01454101,0.005123355,0.07572085,0.1447772],"study_design_scores_gemma":[0.0001230257,0.0001669566,0.7634246,0.0000962679,0.0004677202,0.0004572851,0.0004348975,0.1497486,0.01319013,0.003594808,0.06805359,0.0002420703],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8403956,0.001058416,0.03216176,0.0005314827,0.0001825319,0.0001127963,0.111902,0.003308806,0.01034657],"genre_scores_gemma":[0.8354383,0.0003727393,0.01377851,0.00007671801,0.00009399401,0.0001110487,0.1473814,0.0006570195,0.002090261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01483974,"threshold_uncertainty_score":0.02950674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01733459055510533,"score_gpt":0.2647992239370687,"score_spread":0.2474646333819633,"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."}}