{"id":"W2213699459","doi":"10.6084/m9.figshare.2059944.v1","title":"Supplementary Data for CAFA2","year":2016,"lang":"en","type":"article","venue":"Lirias","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Natural Sciences and Engineering Research Council of Canada; Biotechnology and Biological Sciences Research Council; Office of Science; Directorate for Biological Sciences; National Institutes of Health; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja; China Scholarship Council; Parkinson's UK; National Science Foundation; Royal Society; National Key Research and Development Program of China; British Heart Foundation; Alexander von Humboldt-Stiftung; Academy of Finland; National Natural Science Foundation of China; Microsoft Research; KU Leuven; Fundação de Amparo à Pesquisa do Estado de São Paulo; Gordon and Betty Moore Foundation; U.S. Department of Energy","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000236476,0.00005711321,0.00006428265,0.0000360181,0.00006112022,0.00004256159,0.001308246,0.00002129681,0.00005073227],"category_scores_gemma":[0.00005399759,0.00003846101,0.00001849902,0.00007087988,0.00001320349,0.0002290842,0.0004956526,0.00001622731,0.00001409908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001234188,"about_ca_system_score_gemma":0.00002595141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001514215,"about_ca_topic_score_gemma":0.000005341964,"domain_scores_codex":[0.9993628,0.00001969553,0.0001118671,0.000273272,0.0000836367,0.000148704],"domain_scores_gemma":[0.9988304,0.000122404,0.00003727098,0.0009403056,0.00003254918,0.00003701134],"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":[0.000007434916,0.00004002943,0.0003143517,0.000007441248,0.00001728657,0.00000225794,0.00009097811,0.00002587231,0.0005860652,0.0680877,0.8321528,0.09866773],"study_design_scores_gemma":[0.0006128314,0.00008970011,0.0001819142,0.00002464481,0.000004458399,0.000005235743,0.000003434736,0.0596195,0.005243829,0.01130322,0.9227219,0.0001893465],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001641791,0.00001999112,0.9913973,0.007236084,0.000216361,0.0001245925,0.0001636284,0.0002224548,0.0004553667],"genre_scores_gemma":[0.06760193,0.00002119279,0.929837,0.001028608,0.0001707056,0.00001805097,0.0001110268,0.000007872286,0.001203658],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09847838,"threshold_uncertainty_score":0.2431068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05467910202720348,"score_gpt":0.3136231768431366,"score_spread":0.2589440748159331,"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."}}