{"id":"W7033402035","doi":"","title":"A Provenance-Aware Visual Framework for Explorative and Reproducible Computational Scientific Experiments","year":2025,"lang":"en","type":"article","venue":"University Library (University of Saskatchewan)","topic":"Publishing and Scholarly Communication","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Workflow; Workflow management system; Usability; Extensibility; Workflow technology; Flexibility (engineering); Workflow engine; Graphical user interface","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01034597,0.001493642,0.0008305467,0.004906346,0.001645841,0.007063027,0.003614201,0.001925477,0.007873916],"category_scores_gemma":[0.01894419,0.001085516,0.002392547,0.002412105,0.003390373,0.007249285,0.005405859,0.003226588,0.002110452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00195765,"about_ca_system_score_gemma":0.006058025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009793744,"about_ca_topic_score_gemma":0.01162871,"domain_scores_codex":[0.9966843,0.001479303,0.0003075741,0.0004768792,0.0008022169,0.0002497142],"domain_scores_gemma":[0.9883891,0.004244763,0.0006954957,0.002923265,0.003024949,0.0007223213],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005755551,0.0002739616,0.002756877,0.002028439,0.0001466283,0.0007894877,0.007024106,0.08903106,0.02542955,0.6433069,0.02364752,0.2049899],"study_design_scores_gemma":[0.0002043462,0.000189912,0.001290348,0.001242039,0.0001502085,0.0005713158,0.00135291,0.338065,0.01944736,0.3828169,0.2544138,0.0002557152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001692758,0.0003064351,0.9886637,0.0004861374,0.00007263591,0.0002971564,0.0005586255,0.004040604,0.003881909],"genre_scores_gemma":[0.03173918,0.0006416383,0.9628226,0.0001541891,0.00004360207,0.0005636053,0.001240397,0.001048967,0.001745839],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.989654,"threshold_uncertainty_score":0.05471545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02746872718236357,"score_gpt":0.2267101045116055,"score_spread":0.1992413773292419,"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."}}