{"id":"W2918507488","doi":"10.32964/tj16.8.453","title":"Operating parameters affecting the thermal performance of biomass boilers","year":2017,"lang":"en","type":"article","venue":"TAPPI Journal","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; FPInnovations","keywords":"Raw material; Water content; Thermal; Moisture; Boiler (water heating); Pulp and paper industry; Environmental science; Waste management; Volumetric flow rate; Biomass (ecology); Chemistry; Materials science; Engineering; Composite material; Agronomy; Thermodynamics; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0006997149,0.0005202201,0.0006700506,0.0009108247,0.0003623371,0.0004829896,0.0002489836,0.0003474217,0.0004271411],"category_scores_gemma":[0.001374664,0.0003005911,0.0003786744,0.000819349,0.0003145372,0.0002944738,0.0002172812,0.0002779305,0.0001838606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004801389,"about_ca_system_score_gemma":0.0002327336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004084616,"about_ca_topic_score_gemma":0.006238441,"domain_scores_codex":[0.9995561,0.00008090329,0.00005554025,0.00008474016,0.0001414895,0.00008128719],"domain_scores_gemma":[0.9990712,0.000473862,0.0001394456,0.00005335411,0.0001913018,0.00007081914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003262877,0.0002594284,0.1746233,0.0002434881,0.0001854764,0.0002891114,0.000248339,0.01516075,0.7883816,0.0000484345,0.0001168181,0.01718033],"study_design_scores_gemma":[0.00002786027,0.001047438,0.7275447,0.000008978815,0.00009458693,0.0002051456,0.0001564171,0.008659661,0.2617934,0.00004964101,0.0003674662,0.00004471355],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993984,0.00004621128,0.0002642993,0.000003156264,0.000001549264,0.000006546851,0.0001230688,0.00001071457,0.0001461741],"genre_scores_gemma":[0.9992499,0.00003651579,0.0003177581,0.000002334147,0.000001196786,0.000006729075,0.0002659593,0.000009377297,0.0001103358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004084616,"threshold_uncertainty_score":0.008121669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437517578530529,"score_gpt":0.2211538222715468,"score_spread":0.2067786464862415,"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."}}