{"id":"W2086203343","doi":"10.1016/j.fuproc.2014.01.036","title":"Novel fluidized bed dryer for biomass drying","year":2014,"lang":"en","type":"article","venue":"Fuel Processing Technology","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Japan Science and Technology Corporation","keywords":"Fluidization; Sawdust; Fluidized bed; Biomass (ecology); Inert; Materials science; Moisture; Water content; Pulp and paper industry; Particle size; Environmental science; Waste management; Chemical engineering; Chemistry; Composite material; Agronomy; Geotechnical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001500109,0.000243467,0.0002968916,0.0003437786,0.0001098239,0.00004871199,0.0004882619,0.0004298853,0.0000263505],"category_scores_gemma":[0.0003241502,0.0002431824,0.00006141889,0.0006591506,0.000152181,0.0001485009,0.00009124981,0.000176802,0.00004127536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005902116,"about_ca_system_score_gemma":0.00002910816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001092809,"about_ca_topic_score_gemma":0.000001077158,"domain_scores_codex":[0.9987624,0.000004789892,0.0002888635,0.0003517161,0.0001181369,0.0004741263],"domain_scores_gemma":[0.9993412,0.00007965367,0.00006819246,0.0003094529,0.0001364357,0.00006499197],"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":[0.00001359194,0.0000218581,0.00004306226,0.0007328786,0.0000206027,4.656414e-7,0.00003961727,0.000001893213,0.9632441,0.0006575895,0.0004010846,0.03482328],"study_design_scores_gemma":[0.00098187,0.00003665269,0.000003109736,0.00007754583,0.0000247602,0.00001355915,0.00004893639,0.003460369,0.9698669,0.01048795,0.01467871,0.000319661],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7067399,0.003658827,0.2734633,0.002506193,0.0007751185,0.0006300334,0.0000230054,0.01037366,0.001829936],"genre_scores_gemma":[0.9637794,0.000009605039,0.03579748,0.00007947482,0.00008053614,0.0001252454,0.00001292304,0.00007790602,0.00003745457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2570395,"threshold_uncertainty_score":0.9916692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089828571999807,"score_gpt":0.2221348072208953,"score_spread":0.2112365215008973,"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."}}