{"id":"W2329942275","doi":"10.1115/nawtec12-2203","title":"2003 Upgrades at the GVRD Waste-to-Energy Facility","year":2004,"lang":"en","type":"article","venue":"","topic":"Chemical and Environmental Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Waste management; Boiler (water heating); Upgrade; Engineering; Mill; Environmental science; Mechanical engineering; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001296157,0.0004758124,0.0003500621,0.00101472,0.002358842,0.001789126,0.00194596,0.0008521171,0.02098126],"category_scores_gemma":[0.001597929,0.0004744141,0.0004942027,0.0008090606,0.0003251601,0.0006180068,0.001305848,0.001550042,0.004592187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006612526,"about_ca_system_score_gemma":0.008815904,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2204736,"about_ca_topic_score_gemma":0.4203658,"domain_scores_codex":[0.9980538,0.0001254167,0.00004770117,0.0002072821,0.001116985,0.0004488101],"domain_scores_gemma":[0.9966041,0.00008863336,0.00006673497,0.0003472202,0.002048418,0.0008448168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001736632,0.001891984,0.06441022,0.0004020515,0.00007461572,0.002952034,0.001246682,0.007867284,0.07678729,0.00483723,0.2237382,0.6140558],"study_design_scores_gemma":[0.0001997859,0.001545082,0.09915923,0.00008339507,0.00004631262,0.00173214,0.0008836411,0.005393112,0.04594884,0.0004322889,0.8444526,0.0001235964],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6727467,0.0009008786,0.02477253,0.004187386,0.001161307,0.001155602,0.00731735,0.01202689,0.2757313],"genre_scores_gemma":[0.6715679,0.0004541973,0.0392416,0.0008776902,0.0001123069,0.000190586,0.01468382,0.0007300585,0.2721418],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7795264,"threshold_uncertainty_score":0.4383806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009581660549504373,"score_gpt":0.2002452682484135,"score_spread":0.1906636076989092,"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."}}