{"id":"W3184200744","doi":"10.1016/j.rser.2021.111529","title":"Carbon intensity threshold for Canadian oil sands industry using planetary boundaries: Is a sustainable carbon-negative industry possible?","year":2021,"lang":"en","type":"article","venue":"Renewable and Sustainable Energy Reviews","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Carbon fibers; Greenhouse gas; Carbon footprint; Climate change; Environmental science; Petroleum industry; Intensity (physics); Natural resource economics; Emission intensity; Environmental engineering; Environmental protection; Engineering; Economics; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006752415,0.0003493195,0.0003260828,0.001132577,0.001647968,0.00236486,0.0009263279,0.0005598576,0.003411889],"category_scores_gemma":[0.001536766,0.0001232014,0.0006269185,0.001255243,0.0008980223,0.001368952,0.001075464,0.001032039,0.0003236401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01379838,"about_ca_system_score_gemma":0.02128741,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8045037,"about_ca_topic_score_gemma":0.8496382,"domain_scores_codex":[0.9989629,0.00008492522,0.00001619417,0.0001084777,0.0004958194,0.0003316691],"domain_scores_gemma":[0.9994605,0.00005675614,0.0000416525,0.00002396299,0.0003560183,0.00006105262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008273973,0.0003279028,0.1953745,0.001565258,0.0002716552,0.001634929,0.002963827,0.1661339,0.03600558,0.3263613,0.05115322,0.2173806],"study_design_scores_gemma":[0.00008187857,0.0002611819,0.3849812,0.0006382355,0.0003652703,0.0003399712,0.01975905,0.2214662,0.05068769,0.127076,0.1938986,0.0004446955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6803764,0.004114285,0.03094882,0.008012156,0.000226323,0.0002443655,0.003387548,0.0004290306,0.2722611],"genre_scores_gemma":[0.9902852,0.0005551572,0.004680493,0.0003117522,0.000005914206,0.00003125725,0.0006661937,0.00003299504,0.003431085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1954963,"threshold_uncertainty_score":0.3932951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02714140766899897,"score_gpt":0.2747204486840213,"score_spread":0.2475790410150223,"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."}}