{"id":"W4386127240","doi":"10.1038/s41597-023-02478-4","title":"Greenhouse gas emissions from U.S. crude oil pipeline accidents: 1968 to 2020","year":2023,"lang":"en","type":"article","venue":"Scientific Data","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Science Foundation of Jiangsu Province; Government of Jiangsu Province","keywords":"Greenhouse gas; Environmental science; Pipeline (software); Crude oil; Petroleum engineering; Engineering; Geology; Oceanography","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":[0.0002440938,0.0003988089,0.0001185678,0.000904358,0.0002364715,0.0004196095,0.0001724018,0.0002550054,0.0009358306],"category_scores_gemma":[0.0006750057,0.0001634482,0.0004623263,0.001183214,0.0001697417,0.0005278146,0.0003463205,0.0003499722,0.0002535704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001738233,"about_ca_system_score_gemma":0.0008195053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1120864,"about_ca_topic_score_gemma":0.1121391,"domain_scores_codex":[0.9998796,0.00001296786,0.000008874603,0.00002967138,0.00004448569,0.00002449667],"domain_scores_gemma":[0.9996265,0.00005076654,0.0001185997,0.00002183862,0.000159438,0.00002279011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002594668,0.0001007533,0.8035434,0.0001327417,0.0002049872,0.0003585023,0.0001296346,0.1630617,0.002557314,0.001466732,0.006636356,0.02154838],"study_design_scores_gemma":[0.00001452011,0.0001183473,0.8745915,0.0001185433,0.0001514592,0.0001393289,0.000536316,0.1027909,0.005631019,0.001387538,0.01446551,0.00005498342],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9706956,0.0004376868,0.001960957,0.0003889408,0.00003652327,0.00001617025,0.0217748,0.0001253794,0.004563829],"genre_scores_gemma":[0.9907628,0.0003338423,0.0007216766,0.00004250129,0.000008896061,0.000008207567,0.007402153,0.000007150525,0.0007128747],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1120864,"threshold_uncertainty_score":0.2228681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02372505400748101,"score_gpt":0.2601706665585461,"score_spread":0.2364456125510651,"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."}}