{"id":"W4408858708","doi":"10.1145/3687998.3717051","title":"Reproducibility Report for ACM SIGMOD 2024 Paper: 'Dias: Dynamic Rewriting of Pandas Code'","year":2025,"lang":"en","type":"article","venue":"","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Rewriting; Reproducibility; Code (set theory); Parallel computing; Programming language; 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":[],"category_scores_codex":[0.09432434,0.003000856,0.00318598,0.01035252,0.006488647,0.01320221,0.006270164,0.003270227,0.1252005],"category_scores_gemma":[0.3985865,0.001859508,0.003488093,0.01267813,0.003437384,0.008609579,0.01036098,0.006927207,0.1059145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00458683,"about_ca_system_score_gemma":0.01999653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01718959,"about_ca_topic_score_gemma":0.0104199,"domain_scores_codex":[0.8758751,0.02326008,0.01379385,0.01621958,0.06592415,0.00492725],"domain_scores_gemma":[0.4291652,0.09583363,0.01081256,0.23152,0.219472,0.01319667],"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":[0.0005121974,0.000224495,0.002343368,0.0003900006,0.0001653757,0.0001988324,0.0004262044,0.0007846241,0.004037218,0.004392872,0.9402646,0.04626039],"study_design_scores_gemma":[0.0005544845,0.0003996334,0.006514088,0.0003547834,0.000237707,0.0005547993,0.0004563467,0.008734955,0.03238105,0.01004658,0.9394249,0.0003405486],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02036429,0.002017611,0.1591387,0.05373398,0.1488392,0.00362683,0.2931947,0.2331485,0.08593616],"genre_scores_gemma":[0.1157613,0.001629273,0.1509318,0.01274377,0.01468235,0.005804489,0.4509575,0.13592,0.1115696],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9056756,"threshold_uncertainty_score":0.4988407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1371374605739766,"score_gpt":0.4547590571819151,"score_spread":0.3176215966079385,"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."}}