{"id":"W4361806078","doi":"10.48550/arxiv.2304.00019","title":"Workflows Community Summit 2022: A Roadmap Revolution","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Agnostiq (Canada)","funders":"Oak Ridge National Laboratory; National Nuclear Security Administration; Office of Science; U.S. Department of Energy","keywords":"Workflow; Computer science; Cloud computing; Data science; Cyberinfrastructure; Workflow management system; Software engineering; Database; Operating system","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","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01020721,0.0003516699,0.0005126157,0.001056693,0.0008966997,0.0006540141,0.0051748,0.0002889061,0.0003913687],"category_scores_gemma":[0.002631533,0.0003580644,0.0004074741,0.003207877,0.0002670537,0.0003241143,0.01062907,0.001419037,0.00446343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003249325,"about_ca_system_score_gemma":0.0001652919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001890119,"about_ca_topic_score_gemma":0.002274385,"domain_scores_codex":[0.9948636,0.001476409,0.0006179179,0.001845118,0.0006727591,0.0005242519],"domain_scores_gemma":[0.991726,0.001487894,0.0005822155,0.00551212,0.0004411684,0.0002506285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009417666,0.000308477,0.02595118,0.00006899438,0.0001660606,0.0003174312,0.0006199859,0.4176996,0.000008707001,0.01987348,0.5223207,0.01257121],"study_design_scores_gemma":[0.0006052205,0.00005839397,0.03735861,0.0002775776,0.0001545531,0.000001416339,0.003872948,0.5230501,0.000008681278,0.3864883,0.0472513,0.0008728527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7972088,0.00009408245,0.1821996,0.0004933635,0.007290158,0.00062244,0.0002402275,0.0007678076,0.01108352],"genre_scores_gemma":[0.9366767,0.00006663154,0.0002724513,0.00007963768,0.0001380856,0.000001206989,0.0001579362,0.00002282641,0.06258447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4750694,"threshold_uncertainty_score":0.9998871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4337341689070688,"score_gpt":0.2951032283977948,"score_spread":0.138630940509274,"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."}}