{"id":"W2000549768","doi":"10.13031/2013.17927","title":"A THREE-DIMENSIONAL, ASYMMETRIC, AND TRANSIENT MODEL TO PREDICT GRAIN TEMPERATURES IN GRAIN STORAGE BINS","year":2005,"lang":"en","type":"article","venue":"Transactions of the ASAE","topic":"Effects of Environmental Stressors on Livestock","field":"Agricultural and Biological Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Bin; Polygon mesh; Finite element method; Grain boundary; Boundary (topology); Materials science; Standard deviation; Thermal conduction; Mathematics; Geometry; Algorithm; Mathematical analysis; Thermodynamics; Physics; Statistics; Composite material; Microstructure","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001517736,0.0001303478,0.0001501484,0.0000384141,0.0001425172,0.00001472214,0.0002277839,0.00006253427,0.00004777728],"category_scores_gemma":[0.00001372878,0.00005112007,0.00009524156,0.0004061155,0.00008560682,0.0001122684,0.00001686892,0.0001615178,0.000004430349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003908633,"about_ca_system_score_gemma":0.000004662255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004989285,"about_ca_topic_score_gemma":0.004846987,"domain_scores_codex":[0.9991294,0.00004816995,0.0001797633,0.0002302533,0.000225911,0.0001865127],"domain_scores_gemma":[0.9996746,0.00009835289,0.00003679021,0.0000905199,0.000009677806,0.00009011335],"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":[0.0001992513,0.001169084,0.004250425,0.00002408449,0.00004986412,0.000002382608,0.0004575528,0.1415989,0.7832193,0.0001211314,0.002122662,0.06678532],"study_design_scores_gemma":[0.0007287033,0.0007529024,0.9578168,0.0001475487,0.00004326547,0.00001205067,0.0001055788,0.01998578,0.01755265,0.0004216823,0.00205442,0.0003785623],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942486,0.0002180778,0.0002888711,0.004515156,0.00003797953,0.000444243,0.0001307899,0.00002138756,0.00009485662],"genre_scores_gemma":[0.9984755,0.00001702815,0.0009935637,0.0002285284,0.00002166165,0.00003152196,0.000003698528,0.000001740575,0.0002267723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9535664,"threshold_uncertainty_score":0.2704733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01211271066727198,"score_gpt":0.2135475209600326,"score_spread":0.2014348102927606,"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."}}