{"id":"W6945897891","doi":"10.3217/25g2e-6ha82","title":"The uncertainty inherent to DEM simulations of interlocking particles, Dataset","year":2025,"lang":"en","type":"dataset","venue":"TUGraz OPEN Library (Graz University of Technology)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"","keywords":"Interlocking; Uncertainty quantification; Statistical analysis; Set (abstract data type); Sequence (biology)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013161,0.0002288465,0.0004060457,0.0003535968,0.0001982209,0.00004701057,0.003690382,0.0004031341,0.0001043766],"category_scores_gemma":[0.00009510602,0.0002178858,0.0001348501,0.0007287104,0.0004141728,0.00003005082,0.005722886,0.0002640419,0.000003041754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001926276,"about_ca_system_score_gemma":0.0001994884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005657311,"about_ca_topic_score_gemma":0.001168428,"domain_scores_codex":[0.9987537,0.0000792617,0.0003248761,0.0004873628,0.0001234358,0.0002313472],"domain_scores_gemma":[0.9976119,0.00004557259,0.0003468853,0.001853719,0.00008367054,0.0000582357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001179687,0.0001019357,0.0002234183,0.00004020858,0.0002690484,0.000007552686,0.000004560566,0.0000669997,0.003573564,0.00007843552,0.9924217,0.003094565],"study_design_scores_gemma":[0.0002338428,0.0001830852,0.00001894223,0.00009459897,0.0001753569,0.000001132672,0.0001867323,0.00003489996,0.04567281,0.000277306,0.9529279,0.0001933319],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005957223,0.0003024815,0.0002203546,0.001607798,0.00002799493,0.0007891344,0.9908298,0.00004450629,0.0002206676],"genre_scores_gemma":[0.01208088,0.0008559682,0.002200474,0.0001505229,0.00001401611,0.000003419549,0.9840352,0.00001069588,0.0006488149],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04209924,"threshold_uncertainty_score":0.8885124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008432013470866398,"score_gpt":0.2593558897763696,"score_spread":0.2509238763055032,"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."}}