{"id":"W4386316672","doi":"10.1137/23m1564286","title":"Enhancing Reproducibility of Research Papers in SISC, JSC, and JCP","year":2023,"lang":"en","type":"article","venue":"SIAM Journal on Scientific Computing","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Reproducibility; Geology; Mathematics; Statistics","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.333759,0.003151775,0.00629059,0.05073211,0.008755873,0.05809304,0.01196575,0.009020066,0.0751623],"category_scores_gemma":[0.7939575,0.003982516,0.006293402,0.05185967,0.006379825,0.01885774,0.02666544,0.009153269,0.07250912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009829842,"about_ca_system_score_gemma":0.06723502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007676161,"about_ca_topic_score_gemma":0.008557939,"domain_scores_codex":[0.623335,0.1021369,0.09156403,0.03143771,0.142369,0.009157307],"domain_scores_gemma":[0.04718464,0.1664272,0.03588158,0.3080432,0.4259956,0.0164678],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002331837,0.0005448706,0.01926587,0.003541344,0.001830865,0.001143349,0.003445945,0.003851547,0.01058133,0.03790997,0.5512081,0.3643451],"study_design_scores_gemma":[0.0009803645,0.0003976183,0.0225887,0.002387679,0.00143889,0.0011165,0.001857217,0.01675746,0.02709765,0.07783961,0.8468037,0.0007346083],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03294917,0.01250975,0.2824318,0.1490372,0.2545638,0.007742626,0.05375887,0.04915425,0.1578526],"genre_scores_gemma":[0.2401772,0.009871977,0.3402794,0.01517235,0.07453717,0.007272194,0.07880332,0.05795186,0.1759346],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6662409,"threshold_uncertainty_score":0.8215938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2744338217565782,"score_gpt":0.4819243219104826,"score_spread":0.2074905001539044,"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."}}