{"id":"W2080739960","doi":"10.3390/en6115940","title":"Time Series EROI for Canadian Oil and Gas","year":2013,"lang":"en","type":"article","venue":"Energies","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Department for International Development; European Social Fund; State University of New York; Edna Bailey Sussman Foundation","keywords":"Oil sands; Fossil fuel; tar (computing); Environmental science; Energy (signal processing); Unconventional oil; Fraction (chemistry); Energy resources; Energy flow; Return on investment; Natural resource economics; Production (economics); Petroleum engineering; Waste management; Environmental protection; Economics; Chemistry; Engineering; Statistics; Geography; Mathematics; Computer science; Archaeology","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":[0.0005256422,0.0004612096,0.0002709112,0.002564989,0.0004075492,0.000926188,0.0008734326,0.00036046,0.004722186],"category_scores_gemma":[0.003010471,0.000166679,0.0006148378,0.004241181,0.0002370851,0.0005048552,0.0002591363,0.0007425114,0.0006833347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01378979,"about_ca_system_score_gemma":0.007297899,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9736422,"about_ca_topic_score_gemma":0.9757352,"domain_scores_codex":[0.9994931,0.00002414997,0.00002335091,0.0000923312,0.0002558304,0.0001112393],"domain_scores_gemma":[0.9986367,0.0001902774,0.0001747391,0.00005962147,0.0008822401,0.00005639794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003945341,0.00009148646,0.5108591,0.000744869,0.0008862845,0.0004396064,0.0006330586,0.2314618,0.002009351,0.03170415,0.1433326,0.07744318],"study_design_scores_gemma":[0.00003097169,0.00003930182,0.7517934,0.00009631625,0.0001622284,0.0002087927,0.0007915664,0.1106573,0.002600147,0.001602336,0.1318443,0.000173379],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5300682,0.001514989,0.007674755,0.001358573,0.0001577191,0.0001018951,0.4226685,0.001252758,0.03520252],"genre_scores_gemma":[0.7391017,0.001500315,0.00507466,0.0001341674,0.00003140663,0.0001049698,0.2288693,0.0001289265,0.02505459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02635783,"threshold_uncertainty_score":0.1000524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006967662987873213,"score_gpt":0.2238105584954718,"score_spread":0.2168428955075986,"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."}}