{"id":"W4400583149","doi":"10.1145/3643731","title":"Characterizing Python Library Migrations","year":2024,"lang":"en","type":"article","venue":"Proceedings of the ACM on software engineering.","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Python (programming language); Computer science; Programming language","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001069,0.0001332222,0.0001525245,0.0003705735,0.00009807192,0.0008898011,0.002855757,0.00003833182,0.00008035429],"category_scores_gemma":[0.01163085,0.00008299986,0.0001456895,0.001542812,0.00003366462,0.000669364,0.001513592,0.0001740776,0.0001481685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001757759,"about_ca_system_score_gemma":0.0000221914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001749984,"about_ca_topic_score_gemma":1.083361e-7,"domain_scores_codex":[0.9980926,0.000004504804,0.0003803616,0.0004868136,0.0008416121,0.0001941389],"domain_scores_gemma":[0.9982171,0.00064613,0.00009602682,0.0008923702,0.00008671416,0.00006167428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001456728,0.00006278123,0.009309497,0.0001935038,0.00005584253,0.000003105517,0.001193241,0.0008023338,0.006448881,0.02032319,0.9105045,0.05108857],"study_design_scores_gemma":[0.0001106673,0.00006053866,0.0390943,0.0006674487,0.00002945025,0.00001199691,0.0002034449,0.02089703,0.01894224,0.007696266,0.9119629,0.0003237192],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972585,0.0005565292,0.003964748,0.01185696,0.00646444,0.0004125543,0.0001044456,0.001809004,0.002246309],"genre_scores_gemma":[0.9665345,0.000008569732,0.02541763,0.0002982289,0.0003052738,0.00001759451,0.00000553455,0.00004137449,0.007371292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05076485,"threshold_uncertainty_score":0.9966946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04678773520401621,"score_gpt":0.2944841030300863,"score_spread":0.2476963678260701,"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."}}