{"id":"W2020886949","doi":"10.1016/j.biombioe.2014.04.019","title":"Stratification of off-gases in stored wood pellets","year":2014,"lang":"en","type":"article","venue":"Biomass and Bioenergy","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Delta-Q Technologies (Canada); University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pellets; Stratification (seeds); Environmental science; Relative humidity; Pellet; Humidity; Materials science; Atmospheric sciences; Meteorology; Geology; Composite material; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007974606,0.0002814989,0.0001497033,0.0002674436,0.0004144507,0.0005781449,0.0002548268,0.0002129174,0.002385798],"category_scores_gemma":[0.0001323739,0.0001538589,0.0001165304,0.0001230874,0.0003186976,0.0004992004,0.0003157053,0.0003867794,0.0003410212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004978198,"about_ca_system_score_gemma":0.0002513859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003619284,"about_ca_topic_score_gemma":0.003362612,"domain_scores_codex":[0.9999433,0.00000608855,0.0000022559,0.00001494603,0.000009252826,0.00002418589],"domain_scores_gemma":[0.999958,0.00001119099,0.000005991096,0.000002326773,0.00001003193,0.00001248535],"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":[0.001023451,0.00008101675,0.01397253,0.0000443028,0.00001948506,0.0002327188,0.0002707914,0.0009138195,0.9743222,0.001552852,0.0002593083,0.007307492],"study_design_scores_gemma":[0.00004864506,0.0004141259,0.1061286,0.00003113925,0.0000284518,0.0001578697,0.0009021047,0.01230054,0.8763005,0.001170567,0.002487554,0.00002997724],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972706,0.0002203575,0.0005126216,0.00003229599,0.00001423546,0.000005717938,0.0001158148,0.00001595394,0.001812318],"genre_scores_gemma":[0.9985512,0.00007475985,0.0001092636,0.000009241056,0.000003869935,0.00000389137,0.0001139961,0.000009200534,0.001124447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003619284,"threshold_uncertainty_score":0.0079813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007157720031113425,"score_gpt":0.1875367851323513,"score_spread":0.1803790651012379,"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."}}