{"id":"W1996488581","doi":"10.5555/2820518.2820567","title":"Do onboarding programs work","year":2015,"lang":"en","type":"article","venue":"Mining Software Repositories","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Onboarding; Staffing; Computer science; Work (physics); Open source; Software engineering; Software bug; Software; Knowledge management; Data science; Engineering; Management","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":[0.006246966,0.0006311625,0.0004242217,0.002246559,0.001806353,0.005152371,0.001469685,0.001182404,0.01525475],"category_scores_gemma":[0.05848883,0.0004645977,0.0004167396,0.002198069,0.001995922,0.007923696,0.004102356,0.001385766,0.004096181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00154552,"about_ca_system_score_gemma":0.003273804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003808497,"about_ca_topic_score_gemma":0.004137444,"domain_scores_codex":[0.9945272,0.002107817,0.0001742662,0.001120173,0.0009922746,0.001078287],"domain_scores_gemma":[0.9625651,0.01452473,0.00666405,0.007002742,0.00361994,0.005623567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003773979,0.0009377812,0.1737183,0.0004183625,0.00007639093,0.0003243849,0.02424822,0.0007482668,0.005054591,0.0211672,0.02699589,0.7459332],"study_design_scores_gemma":[0.0002682294,0.001704613,0.3718923,0.001309193,0.0003413403,0.001323368,0.04339534,0.008322862,0.01125385,0.0547259,0.505264,0.0001988939],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8723241,0.0007912933,0.02155736,0.006227708,0.0005195194,0.000282195,0.0002861468,0.002298317,0.09571322],"genre_scores_gemma":[0.9538592,0.0007378098,0.01736754,0.001264946,0.0001492446,0.0002170024,0.000617747,0.001291281,0.02449513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01525475,"threshold_uncertainty_score":0.0510323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04522810760757105,"score_gpt":0.2741533000331867,"score_spread":0.2289251924256157,"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."}}