{"id":"W4393709790","doi":"10.5281/zenodo.7709676","title":"BLASTNet Simulation Dataset","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"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":[0.000744385,0.002502436,0.001194305,0.001818796,0.0008291961,0.001498953,0.0034247,0.002384911,0.06513395],"category_scores_gemma":[0.00293529,0.0007054446,0.001341904,0.002660799,0.0003649548,0.001042666,0.001277055,0.002532809,0.1104642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001348073,"about_ca_system_score_gemma":0.001773264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01540854,"about_ca_topic_score_gemma":0.03701206,"domain_scores_codex":[0.9994624,0.0001034499,0.00004215715,0.0001379672,0.0001785733,0.0000753445],"domain_scores_gemma":[0.9994001,0.0001548726,0.00003519158,0.0001581703,0.0001613409,0.00009037044],"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":[0.00005284417,0.00004525919,0.0005809373,0.0002858849,0.00003861202,0.00002848856,0.00001003504,0.003689279,0.0001820972,0.0007182147,0.9916754,0.002692977],"study_design_scores_gemma":[0.0004616928,0.00005721936,0.002524022,0.000211762,0.00005627078,0.0001368903,0.00006636251,0.0178312,0.001369469,0.00588658,0.971348,0.00005049658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001140743,0.0002569533,0.0007630472,0.0002090336,0.0001310288,0.00004785505,0.9892678,0.003783925,0.004399661],"genre_scores_gemma":[0.001200284,0.00008433034,0.000933068,0.00008482178,0.000009861861,0.00009278823,0.9962219,0.0003191873,0.001053704],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06513395,"threshold_uncertainty_score":0.2178948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2083259230298976,"score_gpt":0.4170791792551411,"score_spread":0.2087532562252435,"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."}}