{"id":"W4250612791","doi":"10.7287/peerj.preprints.1920","title":"Analyzing test driven development based on GitHub evidence","year":2016,"lang":"en","type":"preprint","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Commit; Agile software development; Computer science; Test-driven development; Software engineering; Java; Process (computing); Software; Software development; Database; 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":[0.02371305,0.0006504061,0.0007616933,0.02440018,0.0008035073,0.003906803,0.002496473,0.001202275,0.00186109],"category_scores_gemma":[0.2670953,0.000549934,0.001003372,0.02729937,0.002271371,0.003098654,0.003350161,0.001208912,0.0004992813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002131677,"about_ca_system_score_gemma":0.002364978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009155216,"about_ca_topic_score_gemma":0.00953601,"domain_scores_codex":[0.9540083,0.01582742,0.004346623,0.003401757,0.02086429,0.001551623],"domain_scores_gemma":[0.5113423,0.3338935,0.05870285,0.04670642,0.04691447,0.002440479],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001301399,0.0005639406,0.8131561,0.002809653,0.001065284,0.002060355,0.00535482,0.007759248,0.004047205,0.009764862,0.005545318,0.1465719],"study_design_scores_gemma":[0.0002135997,0.001021473,0.9268218,0.00176379,0.0007916295,0.001995411,0.005487313,0.02428982,0.008819428,0.006473468,0.02217319,0.0001491266],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728247,0.00244511,0.01197372,0.0008028942,0.00003045904,0.0003320226,0.004415322,0.0002590834,0.006916682],"genre_scores_gemma":[0.9791007,0.0009556451,0.01069555,0.0002021729,0.0000362128,0.0003880097,0.007682703,0.0001793499,0.0007595576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9762869,"threshold_uncertainty_score":0.1254081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04884592265832392,"score_gpt":0.3013920882778682,"score_spread":0.2525461656195442,"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."}}