{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002482246,0.0003025977,0.0004080936,0.0007156833,0.002110554,0.002912146,0.005110082,0.0002649053,0.09244389],"category_scores_gemma":[0.00308759,0.0002755903,0.000129841,0.001311624,0.0001899986,0.0003840805,0.003329783,0.0005379542,0.1724493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000147039,"about_ca_system_score_gemma":0.00001130414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002810854,"about_ca_topic_score_gemma":3.841433e-7,"domain_scores_codex":[0.9954259,0.0005342079,0.0008338785,0.001097189,0.00165974,0.0004490628],"domain_scores_gemma":[0.9947856,0.0002902958,0.000518969,0.003090804,0.001053869,0.0002604565],"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":[0.00001530767,0.00008886525,2.023492e-7,0.00002305471,0.00002087681,0.000004675641,0.00002339412,0.000310634,0.00003183466,0.0003128806,0.9862403,0.01292795],"study_design_scores_gemma":[0.0002532655,0.000099167,0.00003903623,0.00002240349,0.00002451371,0.00003189305,0.00003800475,0.001632682,0.00002302129,0.0006923763,0.9968355,0.0003081812],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004102802,0.00003388928,0.00185662,0.00045519,0.0001871359,0.0008180521,0.9909717,0.0006301482,0.005006215],"genre_scores_gemma":[0.0009572606,0.00005985774,0.0001396889,0.0004462517,0.0002090661,1.074389e-7,0.9960097,0.0008194568,0.001358574],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08000541,"threshold_uncertainty_score":0.9999696,"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."}}