{"id":"W4210302806","doi":"10.1126/science.abm1676","title":"Chasing after methane’s ultra-emitters","year":2022,"lang":"en","type":"letter","venue":"Science","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Methane; Environmental science; Astrobiology; Chemistry; Physics; Organic chemistry","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":[0.004076873,0.0009360402,0.0007643139,0.0004708482,0.009265842,0.006852943,0.001591336,0.09304009,0.005817946],"category_scores_gemma":[0.01928188,0.0008006373,0.001104921,0.0003578791,0.004080352,0.006525902,0.004266366,0.05402781,0.003072285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004709021,"about_ca_system_score_gemma":0.007098569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01508455,"about_ca_topic_score_gemma":0.03728331,"domain_scores_codex":[0.9965173,0.0006050436,0.0001441828,0.0003804694,0.001201639,0.0011514],"domain_scores_gemma":[0.9938596,0.002996015,0.000457994,0.000301651,0.0007173382,0.001667267],"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":[0.0001006092,0.00003790859,0.0007673748,0.00005583586,0.00004412736,0.001430708,0.0007936238,0.00007679129,0.000812999,0.01339874,0.9724296,0.01005158],"study_design_scores_gemma":[0.00006900464,0.00007537894,0.001542878,0.0001565422,0.00004031571,0.0004849755,0.001730523,0.0002291662,0.0009092388,0.01604087,0.9786471,0.00007400167],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001531463,0.001543873,0.0001815594,0.9728386,0.01703607,0.00001100431,0.00003053218,0.00003453697,0.006792411],"genre_scores_gemma":[0.01274358,0.0005289265,0.0000973543,0.9575362,0.01276104,0.00001704228,0.00001390552,0.00002581421,0.01627611],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.09304009,"threshold_uncertainty_score":0.03416651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006631392523655666,"score_gpt":0.2017372780520486,"score_spread":0.1951058855283929,"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."}}