{"id":"W7084109775","doi":"10.64628/aam.puks97dda","title":"New technologies are gearing up to find fugitive methane leaks","year":2019,"lang":"en","type":"article","venue":"","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Emerging technologies; Methane; Fugitive emissions; Methane emissions; Leak detection","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":[0.001290952,0.0008966168,0.000872119,0.0026534,0.0006409972,0.001783909,0.001328311,0.001120004,0.005979704],"category_scores_gemma":[0.003289987,0.0003093928,0.0007052903,0.002969952,0.0008645609,0.003737165,0.001843318,0.001739685,0.001600813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001020652,"about_ca_system_score_gemma":0.0006888676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002162466,"about_ca_topic_score_gemma":0.003351806,"domain_scores_codex":[0.9995422,0.000077395,0.00001483206,0.0001382182,0.000178504,0.00004890981],"domain_scores_gemma":[0.9976373,0.0009083221,0.0004381021,0.0003355761,0.0004321116,0.000248625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001277838,0.0002038807,0.08434215,0.002461516,0.0005766858,0.0007329119,0.0006069051,0.02255478,0.2762942,0.06812409,0.0344654,0.5083596],"study_design_scores_gemma":[0.0001069033,0.0004032761,0.04859202,0.0004563206,0.0004373873,0.001221901,0.001498588,0.1199421,0.1764903,0.2843041,0.3663496,0.0001975483],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.2560509,0.05823419,0.5955576,0.03630277,0.002239438,0.0001901837,0.01338204,0.009294606,0.02874829],"genre_scores_gemma":[0.655812,0.02606699,0.2885118,0.003395602,0.001276318,0.0001719769,0.01335386,0.000622398,0.01078919],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005979704,"threshold_uncertainty_score":0.02000415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00825850761166134,"score_gpt":0.2265852000939562,"score_spread":0.2183266924822948,"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."}}