{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002703055,0.0002349929,0.0003466474,0.0004031593,0.00006861332,0.0001999465,0.0002673008,0.00007037385,0.00001209866],"category_scores_gemma":[0.00001241676,0.0001772647,0.00009698045,0.001444956,0.00001320554,0.0001027541,0.00003206788,0.0001163666,0.000007917031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005389224,"about_ca_system_score_gemma":0.000004759056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003055909,"about_ca_topic_score_gemma":0.0004002198,"domain_scores_codex":[0.998803,0.00002975386,0.0003981977,0.0002218516,0.0001767779,0.0003704684],"domain_scores_gemma":[0.9995778,0.00004401089,0.000030157,0.0002618681,0.00002721499,0.00005901471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003357903,0.00003645961,0.006134268,0.001576707,0.0004624396,0.00004304,0.001384351,0.6819744,0.3048936,0.0007267972,0.002129797,0.0006046647],"study_design_scores_gemma":[0.0007142875,0.00004825221,0.116826,0.001147655,0.000187262,0.000005611433,0.0004294946,0.815133,0.03100318,0.00004542431,0.03268581,0.001773994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539202,0.002580248,0.04082489,0.0001314838,0.0008146863,0.0003501506,0.00002960673,0.0005966875,0.0007519804],"genre_scores_gemma":[0.9976495,0.000006574441,0.001930688,0.00001144861,0.0002129187,0.00005494743,0.000009761328,0.00003484562,0.00008931498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2738904,"threshold_uncertainty_score":0.7228643,"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."}}