{"id":"W4378190425","doi":"10.1007/s10664-023-10325-8","title":"18 million links in commit messages: purpose, evolution, and decay","year":2023,"lang":"en","type":"article","venue":"Empirical Software Engineering","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Precursory Research for Embryonic Science and Technology; Japan Society for the Promotion of Science; McGill University","keywords":"Commit; Computer science; Database","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004765874,0.00007902636,0.00009980261,0.0001845784,0.0001924034,0.00006541122,0.0001012026,0.0001712426,0.00007546502],"category_scores_gemma":[0.001023497,0.00008637278,0.00001981887,0.001542153,0.00004647076,0.0001712568,0.00003147033,0.0002077043,0.00005170354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001902996,"about_ca_system_score_gemma":0.0001124125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000155787,"about_ca_topic_score_gemma":0.0003371653,"domain_scores_codex":[0.9991539,0.00006065979,0.0001590968,0.0001647227,0.0002208687,0.0002407712],"domain_scores_gemma":[0.9994201,0.0002931304,0.00002250463,0.00009191728,0.00006406473,0.0001082707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008243583,0.00007774189,0.9033377,0.00005314769,0.00001331369,0.00001132182,0.01987103,0.007472419,0.00007057827,0.007060258,0.05393521,0.008089067],"study_design_scores_gemma":[0.000215812,0.0000162604,0.6009762,0.00005135214,0.000004817728,5.923283e-7,0.002069098,0.001335866,0.00003266885,0.0007717556,0.3943091,0.0002164466],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.963207,0.0007815849,0.02319059,0.008381096,0.001365605,0.000384612,0.000005854055,0.001089178,0.001594501],"genre_scores_gemma":[0.9976329,0.0001140673,0.0009608848,0.000128698,0.0002424091,0.00004248497,0.00001095054,0.00001289105,0.0008546675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3403739,"threshold_uncertainty_score":0.352218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03138405792739127,"score_gpt":0.3356004717254505,"score_spread":0.3042164137980592,"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."}}