{"id":"W4367049412","doi":"10.21203/rs.3.rs-2817569/v1","title":"Methane emission rate estimate using airborne measurement at offshore oil platforms in Newfoundland and Labrador, Canada","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Environment and Climate Change Canada; St. Francis Xavier University","funders":"Natural Resources Canada","keywords":"Environmental science; Submarine pipeline; Tonne; Methane; Methane emissions; Atmospheric sciences; Dispersion (optics); Meteorology; Geography; Oceanography; Chemistry; Geology; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002456439,0.0003887819,0.000426401,0.00004326713,0.0002962652,0.00006449639,0.0004365916,0.0002885768,0.0004880523],"category_scores_gemma":[0.0001787857,0.0003406387,0.00005743871,0.000407878,0.000357073,0.0001213219,0.004170837,0.001096391,0.00004568238],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01247293,"about_ca_system_score_gemma":0.0003382119,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8732831,"about_ca_topic_score_gemma":0.9083301,"domain_scores_codex":[0.9952825,0.0001919446,0.0004168032,0.0009534071,0.002176898,0.0009784314],"domain_scores_gemma":[0.9987152,0.0001216162,0.0001183113,0.0005790714,0.0000218707,0.0004439238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001770694,0.0000905933,0.5713023,0.0006287871,0.00004553646,0.0004461545,0.0005279419,0.4085808,0.00287692,0.000007536965,0.0008490037,0.01446742],"study_design_scores_gemma":[0.0008685538,0.00009220536,0.7414473,0.001064672,0.00002578688,0.00001834642,0.0006363291,0.251445,0.0002318969,0.001026221,0.00239983,0.0007439008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979838,0.0003870231,0.0001550516,0.000350425,0.0001750597,0.0004127822,0.00003916976,0.00003712974,0.0004595666],"genre_scores_gemma":[0.991688,0.001164103,0.00229132,0.0000440303,0.00005338398,0.00008028474,0.00009402537,0.0001017984,0.004483129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.170145,"threshold_uncertainty_score":0.9999046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06945462312129509,"score_gpt":0.3250415705372112,"score_spread":0.2555869474159161,"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."}}