{"id":"W4394022000","doi":"10.5281/zenodo.8388196","title":"DeepCoFFEA models","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Fundação para a Ciência e a Tecnologia","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001005042,0.0002831181,0.0003011326,0.0004054929,0.001973752,0.002721614,0.005920596,0.0001948985,0.0005666864],"category_scores_gemma":[0.0002936985,0.0003015858,0.0001112204,0.001149366,0.00008244286,0.000363913,0.004684731,0.000548577,0.08501891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001505915,"about_ca_system_score_gemma":0.00001022361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000093774,"about_ca_topic_score_gemma":6.263366e-7,"domain_scores_codex":[0.9970022,0.0004874233,0.0003949119,0.000833386,0.0006951569,0.0005869233],"domain_scores_gemma":[0.9974268,0.00005372446,0.0002264853,0.001548054,0.0005043452,0.0002405735],"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":[0.000004452358,0.00005520655,8.827044e-9,0.0001125946,0.00004378016,0.00005125354,0.0001116088,0.001210596,0.00000461768,0.00261467,0.9879069,0.007884256],"study_design_scores_gemma":[0.0002088129,0.0001051113,0.000003779762,0.0000884395,0.00001102033,0.0001184109,0.00001523457,0.01147784,0.00000186794,0.0007991089,0.986855,0.0003154151],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000004014061,0.00007955208,0.1220892,0.0003378728,0.0007374047,0.0003862988,0.8641804,0.002533243,0.009651938],"genre_scores_gemma":[0.0003450646,0.0001014164,0.0002769032,0.0001176804,0.000322057,4.64915e-8,0.9971833,0.0008934027,0.0007601322],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1330028,"threshold_uncertainty_score":0.9999436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0584042419960018,"score_gpt":0.2561037950052698,"score_spread":0.197699553009268,"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."}}