{"id":"W2949276816","doi":"10.1002/cjce.23574","title":"Enhancement of petroleum coke thermal reactivity using Oxy‐cracking technique","year":2019,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Petroleum coke; Combustion; Thermogravimetric analysis; Cracking; Ignition system; Coke; Materials science; Nitrogen; Sulfur; Autoignition temperature; Chemical engineering; Chemistry; Metallurgy; Composite material; Organic chemistry; Thermodynamics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"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":[0.0001565884,0.0003958753,0.000224493,0.0003574421,0.0001405767,0.0002282861,0.0002031655,0.0003578936,0.001181867],"category_scores_gemma":[0.0002714448,0.0002132526,0.0002753224,0.0002131514,0.0001814288,0.0005304304,0.0002583459,0.0006919453,0.0002827815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001714988,"about_ca_system_score_gemma":0.0001347791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004795132,"about_ca_topic_score_gemma":0.001835193,"domain_scores_codex":[0.9998647,0.000009992596,0.000009509828,0.00003349158,0.00004876627,0.00003346333],"domain_scores_gemma":[0.999905,0.00001841331,0.00002705316,0.00001076896,0.00002865969,0.00001013162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007052111,0.00002818891,0.0002257233,0.0002258348,0.000007842153,0.00006623727,0.00002591829,0.0001997404,0.9948668,0.0001449,0.00007357827,0.004064638],"study_design_scores_gemma":[0.000006102008,0.0001282591,0.001531744,0.00001158799,0.00001132585,0.00008162893,0.00002494373,0.001649143,0.994568,0.00003676344,0.001941595,0.000008938459],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828849,0.004004912,0.009296013,0.0001213342,0.00007584829,0.00006224377,0.0001855051,0.0001151005,0.003254153],"genre_scores_gemma":[0.9910067,0.001862571,0.004613388,0.00004886073,0.00001018547,0.00004803395,0.0001377863,0.000031575,0.00224096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001181867,"threshold_uncertainty_score":0.003953755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006858961456318197,"score_gpt":0.1847019856257728,"score_spread":0.1778430241694546,"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."}}