{"id":"W2972339742","doi":"10.26685/urncst.152","title":"Continuous Integration Using Gitlab","year":2019,"lang":"en","type":"article","venue":"Undergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal","topic":"Software Engineering Research","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Agile software development; Computer science; Software engineering; Code (set theory); Software versioning; Quality (philosophy); Software; Engineering management; Programming language; Engineering","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.009847709,0.0001404559,0.0002868668,0.001636661,0.0005140771,0.0006728249,0.001409631,0.0002201343,0.000005419543],"category_scores_gemma":[0.004786816,0.00009999226,0.00003932824,0.004514162,0.001842777,0.001103156,0.001057601,0.003174768,0.00003149235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002390893,"about_ca_system_score_gemma":0.0005826164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004154347,"about_ca_topic_score_gemma":0.00001672757,"domain_scores_codex":[0.9964764,0.0002078337,0.0004752252,0.0006483856,0.001251965,0.0009401844],"domain_scores_gemma":[0.9969147,0.001440122,0.00009011137,0.0003711714,0.0008849467,0.0002989493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004029225,0.0001789926,0.3114254,0.00002709939,0.00002936905,0.0002867449,0.00007120905,0.00001657042,0.01421533,0.0811668,0.0003609392,0.5921812],"study_design_scores_gemma":[0.003975142,0.002564682,0.1063686,0.0007995214,0.000009799643,0.003787309,0.0008171623,0.3638423,0.003450533,0.5104107,0.003084873,0.000889472],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.973208,0.001155562,0.00262121,0.0219586,0.0005667231,0.0002365733,2.885068e-7,0.00008413176,0.0001689202],"genre_scores_gemma":[0.9926143,0.001203076,0.005874121,0.00005093294,0.00006394175,0.000002690337,1.591347e-7,0.000006154385,0.0001845751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5912918,"threshold_uncertainty_score":0.9991249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05323296703157109,"score_gpt":0.4007781525736098,"score_spread":0.3475451855420387,"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."}}