{"id":"W4393571043","doi":"10.5281/zenodo.7242864","title":"BLASTNet Simulation Dataset","year":2024,"lang":"en","type":"dataset","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003307911,0.0008363645,0.0009486977,0.002057506,0.0004261868,0.001821493,0.003249828,0.00117971,0.001965941],"category_scores_gemma":[0.002190163,0.0007261472,0.0004698945,0.002584285,0.0002013045,0.0005694494,0.001198504,0.001422421,0.009884555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005308003,"about_ca_system_score_gemma":0.0004819172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003919905,"about_ca_topic_score_gemma":0.002824409,"domain_scores_codex":[0.9925831,0.0003491153,0.001997386,0.001780721,0.00239556,0.000894101],"domain_scores_gemma":[0.9913179,0.001900979,0.0008809854,0.004931838,0.0004483378,0.00052002],"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":[0.00002649397,0.0001382718,0.00006857068,0.00003201009,0.00004169058,0.00004287654,0.00001496021,0.02235021,0.00002976603,0.0008678606,0.9686915,0.007695792],"study_design_scores_gemma":[0.0001404858,0.00007291443,0.0002109937,0.00006642331,0.0001079993,0.00003208416,0.00002592986,0.1482812,0.00009202174,0.01725829,0.8330932,0.0006184362],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004915963,0.0006276627,0.1217791,0.002265532,0.0003558716,0.001289178,0.8726652,0.0008168029,0.0001514546],"genre_scores_gemma":[0.002589564,0.0002557176,0.008041862,0.003190949,0.0006568263,0.0009259854,0.9825165,0.0001097247,0.001712902],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1355983,"threshold_uncertainty_score":0.9995189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05042729278906551,"score_gpt":0.3678626369724298,"score_spread":0.3174353441833643,"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."}}