{"id":"W2577170234","doi":"10.7287/peerj.preprints.1920v1","title":"Analysis of Test Driven Development on sentiment and coding activities in GitHub repositories","year":2016,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Java; Computer science; Coding (social sciences); Test-driven development; Set (abstract data type); Software; Control (management); Productivity; World Wide Web; Software engineering; Software development; Operating system; Programming language; Artificial intelligence; Mathematics; Statistics","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":[0.00389545,0.0002905811,0.0004170221,0.004543974,0.0003417825,0.001250782,0.0003668636,0.0002962013,0.0005142069],"category_scores_gemma":[0.03528881,0.0001652333,0.0003416195,0.004037404,0.0004001117,0.001009234,0.001107644,0.0004001161,0.0001863553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008741361,"about_ca_system_score_gemma":0.0004782646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002857902,"about_ca_topic_score_gemma":0.00272167,"domain_scores_codex":[0.995141,0.001562378,0.0004411091,0.0003477778,0.002127604,0.0003801179],"domain_scores_gemma":[0.9426059,0.02991657,0.01403122,0.001733697,0.01056391,0.001148771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005392914,0.0002220207,0.8990643,0.0002903823,0.0001222068,0.0004538293,0.00498452,0.0009482689,0.01062355,0.0003061359,0.001532132,0.08091345],"study_design_scores_gemma":[0.000007433414,0.0001754004,0.9865353,0.00004299032,0.00003663439,0.0002760043,0.002754577,0.005568785,0.003020413,0.0001433045,0.001411,0.00002813293],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979366,0.00006755531,0.0007715122,0.00006548734,0.000005418362,0.00002110951,0.0003518419,0.00003794189,0.0007424087],"genre_scores_gemma":[0.997533,0.00006140495,0.001046256,0.00002477974,0.00001357973,0.00003036312,0.0009406491,0.0000204635,0.000329572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004543974,"threshold_uncertainty_score":0.02060133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01393982838113878,"score_gpt":0.2520172469555547,"score_spread":0.2380774185744159,"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."}}