{"id":"W6967875635","doi":"10.5281/zenodo.16434046","title":"From First Use to Final Commit: Studying the Evolution of Multi-CI Service Adoption (Replication Package)","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Software Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Scripting language; Python (programming language); Documentation; Software; Service (business); Software maintenance; Software package; Software evolution","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":[],"consensus_categories":[],"category_scores_codex":[0.01181914,0.001393744,0.001039281,0.004212487,0.001675134,0.005389606,0.002737656,0.00143415,0.133042],"category_scores_gemma":[0.08225875,0.002064643,0.001967486,0.005661145,0.0007102242,0.006480122,0.004975062,0.003490791,0.09210244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002375935,"about_ca_system_score_gemma":0.006623931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01985736,"about_ca_topic_score_gemma":0.01570434,"domain_scores_codex":[0.9924477,0.001869094,0.0005612459,0.001014699,0.00363265,0.0004744805],"domain_scores_gemma":[0.9059745,0.026889,0.003784804,0.02375836,0.03659163,0.003001733],"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":[0.0003207165,0.0001997758,0.008282431,0.0006502489,0.00009351835,0.00009464571,0.001436233,0.002134662,0.001520596,0.008040399,0.8583013,0.1189255],"study_design_scores_gemma":[0.0004401693,0.0006598178,0.06069648,0.0008798418,0.0002250126,0.0002954434,0.001859202,0.01605865,0.009797748,0.01856,0.8900439,0.0004839044],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02694996,0.000810988,0.2315742,0.009805809,0.002835049,0.004189329,0.3489689,0.2243851,0.1504807],"genre_scores_gemma":[0.1047265,0.0009552651,0.3056736,0.001683481,0.0004948452,0.01075277,0.3215363,0.1335871,0.1205901],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.133042,"threshold_uncertainty_score":0.4450698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06518434064067007,"score_gpt":0.2734024491932204,"score_spread":0.2082181085525504,"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."}}