{"id":"W2073319925","doi":"10.1016/j.biosystemseng.2006.04.013","title":"X-ray Computed Tomography Image Analysis to explain the Airflow Resistance Differences in Grain Bulks","year":2006,"lang":"en","type":"article","venue":"Biosystems Engineering","topic":"Material Properties and Processing","field":"Engineering","cited_by":46,"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":"Horizontal and vertical; Airflow; Tomography; Computed tomography; Materials science; Resolution (logic); Geometry; Mathematics; Optics; Engineering; Physics; Medicine; Mechanical engineering; Computer science; Radiology; Artificial intelligence","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":[0.0001356256,0.0003394132,0.0001949427,0.0004142614,0.0001921762,0.0004494801,0.0004381047,0.0004640363,0.002038339],"category_scores_gemma":[0.0004028822,0.0001900259,0.0001670845,0.0002985966,0.0002753164,0.0006537146,0.0001223179,0.0002877668,0.000309623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003280112,"about_ca_system_score_gemma":0.0001926923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002069366,"about_ca_topic_score_gemma":0.002298532,"domain_scores_codex":[0.999966,0.000002934226,0.00000178974,0.00001137396,0.00001083463,0.000007068522],"domain_scores_gemma":[0.9999046,0.00003318958,0.00001639335,0.0000152518,0.0000255273,0.000005013679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002946404,0.0001002963,0.01317357,0.0001401125,0.00002733219,0.0008066659,0.0001822545,0.04556414,0.89342,0.009097781,0.001610662,0.03558253],"study_design_scores_gemma":[0.0000284032,0.00008852007,0.0317209,0.00001536181,0.00003912326,0.0003969829,0.0001266271,0.8530179,0.1091406,0.003201124,0.002201353,0.00002302984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7814208,0.0009619474,0.2069332,0.0005958667,0.00009861685,0.00007179505,0.0003824623,0.001143371,0.00839192],"genre_scores_gemma":[0.9844624,0.0001265229,0.01419931,0.00003233138,0.00000854345,0.00000806263,0.00009517633,0.00005779616,0.001009852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002069366,"threshold_uncertainty_score":0.006818891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004990558178754067,"score_gpt":0.1605817025830203,"score_spread":0.1555911444042663,"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."}}