{"id":"W4393881149","doi":"10.5281/zenodo.6954159","title":"Database of Accreting Binary Simulations","year":2022,"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":"University of Alberta","funders":"","keywords":"Binary number; Database; Computer science; Mathematics; Arithmetic","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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002579496,0.0002043358,0.0003209148,0.0009492112,0.003077622,0.0007247496,0.003675987,0.0001185104,0.450274],"category_scores_gemma":[0.005401515,0.0002058243,0.0001308285,0.00215922,0.0002033629,0.0002983596,0.004456413,0.0005514389,0.002738785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001267772,"about_ca_system_score_gemma":0.00001346083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005122703,"about_ca_topic_score_gemma":6.049709e-7,"domain_scores_codex":[0.9956936,0.0007475714,0.0009079788,0.0007480847,0.001612436,0.0002903651],"domain_scores_gemma":[0.99547,0.0005068112,0.0006896663,0.001980887,0.001196506,0.0001560882],"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":[0.00001871366,0.0001355905,5.864136e-7,0.00002724445,0.00001683537,0.000003607571,0.00006895505,0.001053474,0.0003800578,0.0005800648,0.9874092,0.01030567],"study_design_scores_gemma":[0.0001797102,0.0001137104,0.00003231744,0.00002159317,0.00002504867,0.00001660533,0.0001948898,0.00106101,0.0000606318,0.0006526808,0.997446,0.0001958185],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002733164,0.00005737166,0.001893242,0.0003275561,0.00009793288,0.0006149632,0.9912925,0.0003273147,0.005115811],"genre_scores_gemma":[0.006397866,0.00007831104,0.0003079777,0.0001054994,0.00009877546,1.590829e-7,0.9919919,0.0005481024,0.0004713704],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4475352,"threshold_uncertainty_score":0.9982203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1542993666601424,"score_gpt":0.3885430665819392,"score_spread":0.2342436999217968,"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."}}