{"id":"W4385779049","doi":"10.2172/1813301","title":"Frequency Comb-Based Remote Methane Observation Network (Final Scientific/Technical Report)","year":2021,"lang":"en","type":"report","venue":"","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Advanced Research Projects Agency; Advanced Research Projects Agency - Energy; University of Colorado Boulder; National Oceanic and Atmospheric Administration; Defense Advanced Research Projects Agency; National Institute of Standards and Technology; Office of Fossil Energy; Carbon Management Canada; U.S. Department of Energy","keywords":"Methane; Environmental science; Methane emissions; Remote sensing; Computer science; Geography; Chemistry","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":[0.002100607,0.0004941184,0.0002417557,0.0005341366,0.0004933319,0.0005950349,0.0007671176,0.0005971998,0.0151644],"category_scores_gemma":[0.0007072179,0.0001817691,0.000146495,0.0004173391,0.0002449109,0.0008009719,0.0006531348,0.0007708971,0.01092043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006076657,"about_ca_system_score_gemma":0.002026466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01653688,"about_ca_topic_score_gemma":0.02695253,"domain_scores_codex":[0.9995245,0.00005341793,0.000007307722,0.00007570203,0.0002576277,0.0000815211],"domain_scores_gemma":[0.9991577,0.00005725609,0.00004566395,0.0001178538,0.0004107628,0.0002108168],"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":[0.001277359,0.0007483715,0.01640119,0.0002069287,0.00006220032,0.0002930264,0.0001120837,0.002227512,0.04700771,0.004860241,0.7820047,0.1447987],"study_design_scores_gemma":[0.0008298612,0.0006917512,0.06648051,0.0000523942,0.00003227777,0.0001466476,0.0001624587,0.03576251,0.05839919,0.002887331,0.8344941,0.00006090221],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.1204327,0.001300215,0.06496626,0.009940323,0.002248656,0.003728372,0.5118173,0.01799688,0.2675693],"genre_scores_gemma":[0.1370581,0.0005207186,0.0982045,0.001038714,0.0005018231,0.0017315,0.6236821,0.0011447,0.1361179],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01653688,"threshold_uncertainty_score":0.05072999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07189776377063414,"score_gpt":0.2955606638581679,"score_spread":0.2236629000875338,"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."}}