{"id":"W2093416522","doi":"10.1016/j.jspr.2008.09.004","title":"Temperature fluctuations and moisture migration in wheat stored for 15 months in a metal silo in Canada","year":2008,"lang":"en","type":"article","venue":"Journal of Stored Products Research","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Silo; Bin; Moisture; Information silo; Grain size; Water content; Temperature gradient; Materials science; Metal; Composite material; Geology; Meteorology; Metallurgy; Agronomy; Geotechnical engineering; Physics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001818648,0.0002591244,0.0004331812,0.000505464,0.001907693,0.001136494,0.000600691,0.0003269815,0.0009504551],"category_scores_gemma":[0.0003974239,0.000202472,0.0003038589,0.001117382,0.0005813467,0.0003520328,0.0002928891,0.0003897781,0.0001931402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0132865,"about_ca_system_score_gemma":0.005690468,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.970249,"about_ca_topic_score_gemma":0.983013,"domain_scores_codex":[0.9998665,0.000006597028,0.000005641268,0.00003374126,0.00003199915,0.00005567196],"domain_scores_gemma":[0.9995857,0.00002953901,0.00004406768,0.00000837199,0.000253555,0.00007871212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002756319,0.0003549068,0.9427623,0.00007129812,0.0001639701,0.0007668755,0.003350808,0.002240246,0.03625387,0.0002025892,0.001285589,0.009791337],"study_design_scores_gemma":[0.000007959921,0.00005882471,0.9944852,0.000006606776,0.00002329312,0.0000437941,0.002034396,0.001639538,0.001226771,0.00001709055,0.0004423077,0.00001419077],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993908,0.0000370984,0.00002883003,0.00002024538,0.000002530814,0.000003539456,0.0002325413,0.000002814034,0.0002815154],"genre_scores_gemma":[0.9990733,0.00003604396,0.00004787246,0.00001302194,9.371934e-7,0.000002328395,0.0002698671,0.000002914068,0.0005537411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.029751,"threshold_uncertainty_score":0.09640074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07131133187625467,"score_gpt":0.2887579867745066,"score_spread":0.217446654898252,"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."}}