{"id":"W4292202457","doi":"10.33915/etd.11350","title":"Analysis of Emissions Profiles of Hydraulic Fracturing Engine Technologies","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydraulic fracturing; Petroleum engineering; Directional drilling; Natural gas; Drilling; Oil shale; Engineering; Unconventional oil; Fossil fuel; Shale gas; Environmental science; Mining engineering; Waste management; Mechanical engineering","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":[0.0002332762,0.0003915669,0.0003332121,0.0008868999,0.0002441234,0.0004284489,0.000342442,0.0003509597,0.001002337],"category_scores_gemma":[0.0005466483,0.0001934095,0.0004099012,0.0006513135,0.0001298876,0.0004454986,0.0001838827,0.0002645487,0.000352141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008485994,"about_ca_system_score_gemma":0.0002919699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01153346,"about_ca_topic_score_gemma":0.01074691,"domain_scores_codex":[0.9998201,0.00001552718,0.000009737382,0.00003477467,0.00009347188,0.00002640967],"domain_scores_gemma":[0.9996458,0.0001593911,0.00003045373,0.00001395693,0.0001393726,0.00001094231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001188021,0.0004886253,0.1592475,0.0005618413,0.0001466987,0.0008684065,0.0005128884,0.6210501,0.1263259,0.001414665,0.00141356,0.08678194],"study_design_scores_gemma":[0.00004472065,0.000685924,0.2079867,0.00004483758,0.00007124612,0.0002837311,0.0006529739,0.6493837,0.1365482,0.000723597,0.003489737,0.00008465844],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897023,0.0001049756,0.004601568,0.00002422239,0.000004615383,0.00004612253,0.001032501,0.0001204257,0.004363172],"genre_scores_gemma":[0.9954106,0.00007835376,0.001852404,0.00000649408,0.000001047792,0.00002710234,0.001101727,0.00002328265,0.001498929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01153346,"threshold_uncertainty_score":0.02293265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004202404340539997,"score_gpt":0.219447963818308,"score_spread":0.215245559477768,"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."}}