{"id":"W2890621171","doi":"10.1109/scc.2018.00047","title":"Fine-Grained Attribute Level Locking Scheme for Collaborative Scientific Workflow Development","year":2018,"lang":"en","type":"article","venue":"","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Workflow; Workflow management system; Workflow technology; Computer science; Workflow engine; Modular design; Consistency (knowledge bases); Collaborative software; Scheme (mathematics); Distributed computing; Software engineering; Database; Knowledge management; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005112519,0.0004488745,0.0007710191,0.001255682,0.001512884,0.002071613,0.003391369,0.001066621,0.002707925],"category_scores_gemma":[0.00845506,0.0004314991,0.0008754431,0.001572285,0.001048853,0.003076497,0.002676128,0.001286517,0.0008379331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009423255,"about_ca_system_score_gemma":0.003325219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001797932,"about_ca_topic_score_gemma":0.001638902,"domain_scores_codex":[0.9962677,0.001016712,0.0006517001,0.0007897572,0.0008936853,0.0003804849],"domain_scores_gemma":[0.9914996,0.002018796,0.001005828,0.003692354,0.001208016,0.0005755074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001795048,0.0006744467,0.009846266,0.0005768964,0.0002294352,0.0004876266,0.001937201,0.1560817,0.0909779,0.07672234,0.007200777,0.6534703],"study_design_scores_gemma":[0.0004126761,0.000623856,0.001428087,0.00007265608,0.0001930945,0.0006476139,0.0002915794,0.86831,0.06485078,0.03566664,0.02731032,0.000192694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01598751,0.0002610343,0.9813747,0.0000969451,0.00007014725,0.0001433018,0.00006025765,0.001334065,0.0006721332],"genre_scores_gemma":[0.4091432,0.0002593195,0.586883,0.0001399516,0.00006375342,0.0003299957,0.0002357119,0.0001372132,0.002807817],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005112519,"threshold_uncertainty_score":0.02703786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3801762662384871,"score_gpt":0.4197132870980151,"score_spread":0.03953702085952798,"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."}}