{"id":"W2803395207","doi":"10.1109/tse.2018.2838131","title":"Use and Misuse of Continuous Integration Features: An Empirical Study of Projects That (Mis)Use Travis CI","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Software deployment; Feature (linguistics); Software; Source code; Code (set theory); Software engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007784679,0.0003583113,0.0003362513,0.003122262,0.0008294334,0.001329017,0.0007876066,0.0007772349,0.0008021363],"category_scores_gemma":[0.05653048,0.0004231651,0.0002614798,0.002884466,0.00139322,0.002525211,0.0017722,0.001071447,0.0003842243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006471142,"about_ca_system_score_gemma":0.0006972353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002271158,"about_ca_topic_score_gemma":0.003383486,"domain_scores_codex":[0.9909128,0.00278045,0.001213159,0.001458807,0.003084238,0.0005504718],"domain_scores_gemma":[0.8561314,0.08041044,0.03821111,0.00739746,0.0146133,0.003236351],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001550836,0.000307038,0.9522304,0.0001454236,0.00004510457,0.0005428843,0.01488865,0.0002996155,0.001971932,0.0002145497,0.0004865597,0.02871279],"study_design_scores_gemma":[0.0000120884,0.0005796484,0.9783407,0.00007201128,0.00002924594,0.001135543,0.01279694,0.002370702,0.001992198,0.0002035631,0.002431465,0.00003599395],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991161,0.0000612263,0.000414889,0.00003569003,0.000001411283,0.0000146142,0.00008840962,0.00001606434,0.0002515536],"genre_scores_gemma":[0.9980226,0.00009765325,0.0009862912,0.00002772079,0.00000468124,0.0000485651,0.0003577196,0.00002539212,0.0004295006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9922153,"threshold_uncertainty_score":0.04116982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05555397349595297,"score_gpt":0.3073684037745283,"score_spread":0.2518144302785754,"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."}}