{"id":"W2564275380","doi":"10.1190/tle36010033.1","title":"Mapping methane sources and their emission rates using an aircraft","year":2016,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Methane; Environmental science; Methane emissions; Remote sensing; Meteorology; Geology; Geography; Chemistry","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":[0.0001282889,0.0002920013,0.00009488603,0.0009688123,0.0002475378,0.00022799,0.000214651,0.0001610678,0.0007138338],"category_scores_gemma":[0.0002772123,0.0001466431,0.0002127193,0.000818344,0.00008142478,0.0002325959,0.0001817438,0.0001358633,0.0001297192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003720197,"about_ca_system_score_gemma":0.0003425512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09679947,"about_ca_topic_score_gemma":0.12795,"domain_scores_codex":[0.9999169,0.00001340687,0.000002794594,0.00002563064,0.00002551455,0.00001576614],"domain_scores_gemma":[0.9998833,0.00003070904,0.0000184478,0.00001511736,0.00003908994,0.00001331306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006622944,0.0003403044,0.6192412,0.00008802862,0.0001998147,0.000324357,0.0009281537,0.07260812,0.1580928,0.000989493,0.001672821,0.1448526],"study_design_scores_gemma":[0.00004590919,0.0003476614,0.6078025,0.00001862519,0.0001334717,0.0001667504,0.0004154837,0.358533,0.02905262,0.0002720007,0.003170627,0.00004145754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874223,0.00005215044,0.008422917,0.00002908139,0.000004449257,0.00002367234,0.001145713,0.0002506857,0.002648945],"genre_scores_gemma":[0.9805258,0.00006102673,0.01790896,0.000006763136,0.000002614894,0.00001277751,0.0009485104,0.0000114796,0.0005221504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09679947,"threshold_uncertainty_score":0.192472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02201615825870328,"score_gpt":0.238258100509681,"score_spread":0.2162419422509777,"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."}}