{"id":"W4403616560","doi":"10.1080/15567036.2024.2412817","title":"Navigating the depths of refuse-derived fuel in Canada: From heterogeneity to insightful analysis","year":2024,"lang":"en","type":"article","venue":"Energy Sources Part A Recovery Utilization and Environmental Effects","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Enerkem (Canada); Université de Sherbrooke","funders":"Mitacs; Université de Sherbrooke","keywords":"Environmental science; Waste management; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001463735,0.0001593901,0.0002064279,0.0000442405,0.00007158163,0.00004105762,0.0001382626,0.00004527294,0.0001315624],"category_scores_gemma":[0.00001468706,0.0001247122,0.00006761916,0.0004452462,0.00007318783,0.0001167671,0.0002083344,0.0001028866,0.000006643101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002747767,"about_ca_system_score_gemma":0.000009398093,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3595762,"about_ca_topic_score_gemma":0.4660512,"domain_scores_codex":[0.9987743,0.0001513408,0.0002597224,0.0003790197,0.0002613106,0.0001743262],"domain_scores_gemma":[0.9994722,0.0001763247,0.00006389945,0.0002137933,6.936286e-7,0.00007309346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005324787,0.00009074172,0.5593324,0.00005929221,0.0003777092,0.00003297859,0.001487024,0.1255231,0.0117216,0.00003619313,0.000526683,0.300759],"study_design_scores_gemma":[0.0003771433,0.0001947847,0.7420768,0.0003223199,0.0003643688,0.000002281831,0.0009504787,0.1227774,0.08610865,0.0003228484,0.04587546,0.000627396],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959923,0.0009413619,0.002365459,0.00008334997,0.0001024096,0.0001387419,0.0000161837,0.00003431532,0.0003258849],"genre_scores_gemma":[0.9985464,0.0006894417,0.0001310428,0.00042386,0.00001881208,0.00003613936,0.00007622156,0.00001566497,0.00006237689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3001316,"threshold_uncertainty_score":0.6446884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008841276912156068,"score_gpt":0.2192594062140684,"score_spread":0.2104181293019123,"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."}}