{"id":"W1971159285","doi":"10.1002/cjce.22020","title":"Characterization, gasification, activation, and potential uses for the millions of tonnes of petroleum coke produced in Canada each year","year":2014,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Energy; University of Calgary","funders":"Carbon Management Canada; Canada Foundation for Innovation; Syncrude; Suncor Energy Incorporated","keywords":"Petroleum coke; Tonne; Waste management; Coke; Petroleum; Environmental science; Chemistry; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0005753164,0.0005435518,0.0002803096,0.001410326,0.001590225,0.0009862108,0.0005774697,0.0005130136,0.001023019],"category_scores_gemma":[0.0005315925,0.0002067331,0.000343633,0.001560723,0.0006372249,0.0004720508,0.0003524941,0.0005827739,0.0004373136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003363828,"about_ca_system_score_gemma":0.003836462,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.437889,"about_ca_topic_score_gemma":0.6737805,"domain_scores_codex":[0.9990172,0.00003624596,0.0000332261,0.00007174791,0.0006890924,0.000152454],"domain_scores_gemma":[0.9997672,0.00002211409,0.0000144245,0.00000995675,0.0001607036,0.00002556841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003217625,0.0001637813,0.0168401,0.0006337037,0.00004119467,0.0005295336,0.0005503126,0.002775964,0.9396782,0.0007731029,0.001663811,0.03602859],"study_design_scores_gemma":[0.00001137308,0.0003446781,0.04914913,0.00009556627,0.00006695018,0.0004402291,0.001689898,0.004095169,0.9146591,0.0002142837,0.029184,0.0000496049],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769734,0.004116639,0.003380022,0.0004518042,0.00002814514,0.0001855149,0.002916483,0.00008298417,0.01186494],"genre_scores_gemma":[0.9784063,0.00515324,0.005040639,0.0000893035,0.000009539233,0.00004610336,0.001884961,0.00005269002,0.009317338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.562111,"threshold_uncertainty_score":0.8706805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005561776770325365,"score_gpt":0.1713704323314033,"score_spread":0.1658086555610779,"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."}}