{"id":"W3090290023","doi":"10.1016/j.apenergy.2020.115890","title":"Oxy-cracking technique for producing non-combustion products from residual feedstocks and cleaning up wastewater","year":2020,"lang":"en","type":"article","venue":"Applied Energy","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Waste management; Residual oil; Environmental science; Combustion; Cracking; Wastewater; Greenhouse gas; Environmentally friendly; Heat of combustion; Process engineering; Materials science; Environmental engineering; Petroleum engineering; Engineering; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0001344746,0.0003780374,0.0001575842,0.000386603,0.0002240232,0.0002008421,0.0002802112,0.0002987318,0.001311608],"category_scores_gemma":[0.0001326949,0.0001700583,0.000242558,0.000203446,0.0001935085,0.0003092525,0.0002241997,0.0006418065,0.0003590545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001533868,"about_ca_system_score_gemma":0.0003205848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000792663,"about_ca_topic_score_gemma":0.003660179,"domain_scores_codex":[0.9998635,0.000009893899,0.00001204242,0.00003694886,0.00005418409,0.00002330638],"domain_scores_gemma":[0.9998724,0.00002476713,0.00003914495,0.00002112808,0.00003023002,0.00001229807],"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":[0.0000306554,0.00001970421,0.0002227806,0.00008591636,0.000003588369,0.0000360611,0.00002866194,0.00004921331,0.9943204,0.0001196759,0.00007197219,0.005011416],"study_design_scores_gemma":[0.000002248576,0.00006729857,0.001174383,0.000005210982,0.000007510258,0.0000597488,0.00001656935,0.0003141571,0.9974107,0.00001815032,0.0009209675,0.000003054213],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9571056,0.001529842,0.03562333,0.0002068482,0.000113863,0.0001155349,0.000399857,0.0001887888,0.004716282],"genre_scores_gemma":[0.9644025,0.00126195,0.02491223,0.00009646378,0.00002346544,0.00006761555,0.0002654615,0.00005127239,0.008919001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001311608,"threshold_uncertainty_score":0.004387736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01280169261838654,"score_gpt":0.2143558305252357,"score_spread":0.2015541379068492,"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."}}