{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008976768,0.002536833,0.001140266,0.002041742,0.0007445748,0.001782844,0.003543692,0.002534727,0.04436328],"category_scores_gemma":[0.004002925,0.0007252928,0.001433751,0.002853828,0.0004450328,0.001171783,0.001604107,0.002501436,0.07348581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001352933,"about_ca_system_score_gemma":0.001811208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01930543,"about_ca_topic_score_gemma":0.04301766,"domain_scores_codex":[0.9993306,0.0001290852,0.00006869889,0.0001711902,0.0002175629,0.0000828128],"domain_scores_gemma":[0.9990903,0.0002454013,0.00006067676,0.0002500107,0.0002468886,0.000106769],"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":[0.0000527511,0.00004967023,0.001064173,0.0004294392,0.00005123798,0.00004359569,0.00001918314,0.004680645,0.0001880698,0.001006178,0.9888644,0.00355057],"study_design_scores_gemma":[0.0003558202,0.00003323149,0.002532751,0.0002273922,0.00003956021,0.000116386,0.00007500424,0.01519083,0.0009510468,0.004766167,0.9756629,0.00004896951],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007423645,0.0001995252,0.0008673312,0.0001735777,0.00008614178,0.00003473721,0.9917631,0.003679865,0.002453332],"genre_scores_gemma":[0.001183338,0.0000806583,0.0010464,0.00007561922,0.0000077684,0.00008280361,0.9966843,0.0002519946,0.0005871535],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04436328,"threshold_uncertainty_score":0.14841,"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."}}