{"id":"W35390253","doi":"10.1021/acs.langmuir.1c03472","title":"Підвищення жаропродуктивності деревних паливних гранул","year":2012,"lang":"en","type":"article","venue":"Энергосбережение. Энергетика. Энергоаудит","topic":"Aerospace, Electronics, Mathematical Modeling","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Briquette; Pellets; Environmental science; Waste management; Biomass (ecology); Moisture; Pulp and paper industry; Productivity; Process engineering; Engineering; Materials science; Agronomy; Coal; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002456912,0.001363528,0.001305392,0.0001790301,0.001057826,0.0002706123,0.001915414,0.0007500545,0.02882143],"category_scores_gemma":[0.0005138503,0.001339818,0.0006650716,0.000925969,0.0009649003,0.002143363,0.001484032,0.001499679,0.04816252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001241709,"about_ca_system_score_gemma":0.0001018395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007254627,"about_ca_topic_score_gemma":0.0002987411,"domain_scores_codex":[0.9901037,0.0003494686,0.001456987,0.00168136,0.002129932,0.00427854],"domain_scores_gemma":[0.9947833,0.0004280235,0.0005909251,0.002434308,0.00008297101,0.001680441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008625518,0.009831551,0.24231,0.0008195077,0.001281928,0.000237922,0.04064903,0.01199464,0.09737612,0.04855436,0.4003377,0.1457447],"study_design_scores_gemma":[0.008753553,0.001634376,0.07538275,0.0005498325,0.001330344,0.001219023,0.004253103,0.04845744,0.01978801,0.0761392,0.7500655,0.01242684],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8044161,0.003321344,0.03655452,0.003232912,0.002251469,0.002290543,0.0000470415,0.001962674,0.1459234],"genre_scores_gemma":[0.969781,0.0001966675,0.01885368,0.002048622,0.001080296,0.0001752282,0.00006456183,0.0003648444,0.007435142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3497278,"threshold_uncertainty_score":0.9999115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0101810902955167,"score_gpt":0.2207513396757993,"score_spread":0.2105702493802826,"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."}}