{"id":"W4392604232","doi":"10.5194/egusphere-egu24-11787","title":"GHGSat&amp;#8217;s constellation: Land and offshore greenhouse gases detection and quantification&amp;#160;","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"GHGSat (Canada)","funders":"","keywords":"Constellation; Greenhouse gas; Submarine pipeline; Environmental science; Oceanography; Physics; Geology; Astronomy","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":[0.0005732949,0.0005717585,0.0002818395,0.0004977818,0.0003787144,0.0005580694,0.0004628117,0.0004410036,0.005197192],"category_scores_gemma":[0.001106104,0.0001643051,0.0003260333,0.0007098534,0.0005027484,0.000658416,0.0004753638,0.0004767746,0.001867377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007171517,"about_ca_system_score_gemma":0.000726091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01815251,"about_ca_topic_score_gemma":0.02769837,"domain_scores_codex":[0.9995701,0.00004848267,0.00001215837,0.0000972176,0.0002256558,0.00004638114],"domain_scores_gemma":[0.999482,0.0001128207,0.00008848688,0.0001175382,0.0001480687,0.00005108638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001256418,0.0005578066,0.1795699,0.0007364631,0.0004352911,0.0004656499,0.0004130551,0.2600921,0.1648761,0.01078133,0.0980582,0.2827578],"study_design_scores_gemma":[0.0001958172,0.0006226985,0.1308232,0.00006001823,0.0001004491,0.0002672251,0.0001582413,0.6421969,0.1298345,0.004407579,0.09116757,0.0001658393],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.785778,0.0006539047,0.1071096,0.001230356,0.0004959772,0.0003866123,0.03187636,0.008209405,0.06425979],"genre_scores_gemma":[0.9119018,0.0002038757,0.05764693,0.0002126502,0.00004711046,0.0001244424,0.02133757,0.0005595163,0.007966319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01815251,"threshold_uncertainty_score":0.03609371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02065897843966178,"score_gpt":0.2352428805801974,"score_spread":0.2145839021405356,"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."}}