{"id":"W3018073585","doi":"","title":"Baselining Fugitive and Vented Emissions Across Canadian Energy Developments","year":2016,"lang":"en","type":"article","venue":"AGUFM","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Fugitive emissions; Environmental science; Greenhouse gas; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001758841,0.0002659756,0.000402586,0.0016797,0.00142659,0.005287924,0.001032019,0.001340072,0.004141932],"category_scores_gemma":[0.009474394,0.0002693656,0.0007899684,0.002121929,0.001713175,0.002088445,0.001118006,0.00180688,0.0001780865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02587422,"about_ca_system_score_gemma":0.01403596,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9299044,"about_ca_topic_score_gemma":0.9667849,"domain_scores_codex":[0.9987547,0.0001154527,0.00006311965,0.0001888312,0.0003935508,0.0004844007],"domain_scores_gemma":[0.9956211,0.001157077,0.0008402612,0.0002883915,0.001710874,0.0003821659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009814021,0.0001454489,0.3471279,0.0002450608,0.0004932786,0.001094882,0.002784109,0.2583902,0.005331424,0.2833432,0.01828105,0.0817821],"study_design_scores_gemma":[0.00003668616,0.00007321696,0.7539806,0.000184466,0.0002109625,0.0001171956,0.003487417,0.1420838,0.003015857,0.05949677,0.03707221,0.0002407726],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9375375,0.00236076,0.006344972,0.002956935,0.0001073094,0.00004615475,0.003241136,0.0001479985,0.04725725],"genre_scores_gemma":[0.9952798,0.0002200632,0.0002671097,0.00006123389,0.00001145519,0.000004798583,0.000341516,0.00001287982,0.003801031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0700956,"threshold_uncertainty_score":0.1877314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0760108148857069,"score_gpt":0.2494845490463077,"score_spread":0.1734737341606008,"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."}}