{"id":"W3022017686","doi":"","title":"CLAIRE: a Canadian Small Satellite Mission for Measurement of Greenhouse Gases","year":2016,"lang":"en","type":"article","venue":"41st COSPAR Scientific Assembly","topic":"Spacecraft and Cryogenic Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Satellite; Environmental science; Remote sensing; Meteorology; Atmospheric sciences; Geography; Geology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002392608,0.001490524,0.0008577429,0.002167797,0.006022268,0.001905873,0.001995164,0.000995073,0.01372985],"category_scores_gemma":[0.001369606,0.0004622668,0.000617108,0.001829775,0.0009917496,0.001747981,0.001677692,0.001721885,0.00284693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01769643,"about_ca_system_score_gemma":0.04531224,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9407465,"about_ca_topic_score_gemma":0.9781007,"domain_scores_codex":[0.9986752,0.00006472148,0.00001303906,0.0001777445,0.0007711287,0.0002981911],"domain_scores_gemma":[0.998046,0.00006405379,0.00006947471,0.0001247247,0.001300065,0.0003956849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004023442,0.001089695,0.04527785,0.0007145125,0.0003990633,0.0004901483,0.00159856,0.01131156,0.1602603,0.01309597,0.5571525,0.2045863],"study_design_scores_gemma":[0.001593258,0.0009528485,0.1570602,0.0002517301,0.0003141232,0.0002673208,0.001216377,0.03996359,0.06933673,0.002027807,0.7264784,0.0005376422],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3846163,0.004078811,0.03572616,0.008340401,0.002113577,0.00304004,0.1901449,0.02085356,0.3510863],"genre_scores_gemma":[0.6663688,0.001465026,0.08739405,0.002385244,0.0002434413,0.0007239778,0.1005169,0.003509882,0.1373927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05925351,"threshold_uncertainty_score":0.1283972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05331977526386057,"score_gpt":0.2205717184524993,"score_spread":0.1672519431886387,"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."}}