{"id":"W4409599230","doi":"10.1038/s41598-025-94007-z","title":"Discrete element simulation optimization design and testing of low-damage flexible drum threshing elements suitable for high-quality seed harvesting","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Soil Mechanics and Vehicle Dynamics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"National Natural Science Foundation of China","keywords":"Threshing; Drum; Discrete element method; Computer science; Quality (philosophy); Combine harvester; Agricultural engineering; Mechanical engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004602245,0.000436099,0.0004584298,0.0003610009,0.0002495114,0.0005151319,0.000652226,0.0007024347,0.00156466],"category_scores_gemma":[0.0006918483,0.0003188538,0.0005708138,0.0002140126,0.0003858572,0.0002886433,0.0003629554,0.0003144499,0.0002657849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003962764,"about_ca_system_score_gemma":0.0006547815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002250733,"about_ca_topic_score_gemma":0.002781479,"domain_scores_codex":[0.9998211,0.00003452353,0.000008936429,0.00002788088,0.00007794384,0.00002955939],"domain_scores_gemma":[0.9996963,0.0001250075,0.00004918778,0.0000416698,0.00006416728,0.00002372766],"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":[0.00006545124,0.00004334528,0.001252593,0.00009820373,0.00001341254,0.00007564593,0.0000473386,0.9685898,0.02342411,0.0007443065,0.0001307198,0.005515049],"study_design_scores_gemma":[0.00001008045,0.00009103572,0.0004897857,0.000005791791,0.000006192507,0.00001143526,0.00003034432,0.992195,0.006521342,0.0001205089,0.0005130952,0.000005431241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6069298,0.0001893262,0.3808991,0.0001595077,0.00005761714,0.0001833739,0.000308249,0.0004256128,0.01084749],"genre_scores_gemma":[0.9365248,0.00008186036,0.06074648,0.00001643714,0.00000266511,0.0001436158,0.0001248711,0.00003520371,0.002324069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002250733,"threshold_uncertainty_score":0.005234301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02737675429719869,"score_gpt":0.2854209033446818,"score_spread":0.2580441490474831,"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."}}