{"id":"W2132894987","doi":"10.1016/j.biortech.2010.03.034","title":"Simple and inexpensive method of wood pellets macro-porosity measurement","year":2010,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Agricultural Engineering and Mechanization","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Industry Canada","keywords":"Pellets; Porosity; Materials science; Macro; Cylinder; Composite material; Mathematics; Geometry; Computer science","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":[0.0001006476,0.0001104579,0.0001506833,0.0001211702,0.00002671629,0.000004369834,0.00009672658,0.00020657,0.00001184804],"category_scores_gemma":[0.00009995479,0.00009309619,0.00001852326,0.0002242799,0.00003430725,0.00001913578,0.00004698822,0.0001932049,0.000004098206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001672622,"about_ca_system_score_gemma":0.000003772347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001145609,"about_ca_topic_score_gemma":0.00001844722,"domain_scores_codex":[0.9995018,0.000005285836,0.0001275157,0.0001218004,0.00009537962,0.0001482207],"domain_scores_gemma":[0.9996673,0.00001084731,0.00003746278,0.0001579902,0.00008889676,0.00003751444],"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":[0.000001521056,0.000008025399,0.0003093795,0.00002837037,0.00001677606,0.000001284419,0.00008877101,0.0005650644,0.9887214,0.00168764,0.0002908795,0.008280915],"study_design_scores_gemma":[0.0002802492,0.00005751208,0.003229359,0.00001394769,0.00002290243,0.00005331929,0.000201212,0.006255102,0.9772587,0.0004855045,0.01194269,0.0001994473],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9585699,0.00019469,0.04016751,0.00009989754,0.0001086735,0.0001182155,0.000004650537,0.0005824813,0.000153979],"genre_scores_gemma":[0.9903716,0.00001640874,0.009539672,0.000007395818,0.00002668684,0.000007774454,0.000003917112,0.00001481919,0.00001174584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03180167,"threshold_uncertainty_score":0.3796352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005771164163663561,"score_gpt":0.1944735060999231,"score_spread":0.1887023419362596,"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."}}