{"id":"W2908974464","doi":"10.11575/prism/35724","title":"Energy and Emissions of Unconventional Resources","year":2019,"lang":"en","type":"dissertation","venue":"PRISM (University of Calgary)","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Energy (signal processing); Unconventional oil; Natural resource economics; Environmental science; Environmental planning; Business; Engineering; Fossil fuel; Waste management; Economics; Physics","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":[0.0003388058,0.0004347728,0.0001847765,0.001108114,0.0004400876,0.001625792,0.0003276883,0.0006210956,0.002833524],"category_scores_gemma":[0.0003809558,0.0001573321,0.0003459986,0.001928039,0.0005045179,0.0007814852,0.0009142281,0.0004793495,0.0003437655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004006585,"about_ca_system_score_gemma":0.00185125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05629186,"about_ca_topic_score_gemma":0.1233022,"domain_scores_codex":[0.9994634,0.00005869358,0.00001372345,0.0000493777,0.0003352471,0.00007963712],"domain_scores_gemma":[0.9998405,0.00006097521,0.00002209294,0.00001719399,0.00005040643,0.00000888596],"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":[0.000285919,0.0002064526,0.04536739,0.001081757,0.0001990914,0.00107801,0.001391672,0.3466596,0.07770853,0.1979208,0.009273136,0.3188277],"study_design_scores_gemma":[0.00005139986,0.0004020295,0.1894675,0.001307768,0.0001590835,0.0007766766,0.005929983,0.1388239,0.1964196,0.1399838,0.3264477,0.0002304783],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7023606,0.00931803,0.0252456,0.002194576,0.000187376,0.00009390531,0.00366844,0.000206923,0.2567246],"genre_scores_gemma":[0.9467852,0.008611,0.007406496,0.0001653785,0.00001951438,0.00005090915,0.0006492612,0.00005951911,0.0362527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05629186,"threshold_uncertainty_score":0.1119284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003560210755037447,"score_gpt":0.1653353212190844,"score_spread":0.161775110464047,"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."}}