{"id":"W4394052273","doi":"10.5281/zenodo.3478487","title":"AutoMate Dataset - Simulator 1","year":2019,"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":"L'Alliance Boviteq","funders":"European Commission","keywords":"Computer science; Simulation; Computer graphics (images)","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":[0.001671866,0.003513755,0.00143124,0.004241831,0.0008275341,0.001855194,0.002974717,0.003392575,0.03219631],"category_scores_gemma":[0.009608227,0.0008186795,0.002448698,0.004925618,0.0006341559,0.001426517,0.001573409,0.001867842,0.03952181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00146871,"about_ca_system_score_gemma":0.003363729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01914951,"about_ca_topic_score_gemma":0.03578912,"domain_scores_codex":[0.9977951,0.0004744274,0.0002798108,0.0006269206,0.0006005981,0.0002232357],"domain_scores_gemma":[0.9953387,0.001696852,0.0003084851,0.0012931,0.001022088,0.0003407754],"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":[0.0002124707,0.0001470557,0.001613154,0.001440579,0.0001468951,0.00006288371,0.0000363689,0.003845496,0.0004760345,0.0006583594,0.98555,0.00581062],"study_design_scores_gemma":[0.001205889,0.0001845,0.01010932,0.0004964251,0.0001996713,0.0002367823,0.0001628455,0.00985169,0.002174593,0.004393025,0.9708533,0.0001320538],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008258196,0.0001202343,0.0003240168,0.0001045837,0.00005289378,0.0000445245,0.9960448,0.001760956,0.0007222738],"genre_scores_gemma":[0.0009963739,0.00004787156,0.0007244491,0.00004423272,0.000006631224,0.00009227247,0.9976026,0.000116666,0.0003689111],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03219631,"threshold_uncertainty_score":0.1077074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.173491542398463,"score_gpt":0.4020814601398006,"score_spread":0.2285899177413375,"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."}}