{"id":"W2546705944","doi":"10.1145/2950290.2983989","title":"Disrupting developer productivity one bot at a time","year":2016,"lang":"en","type":"article","venue":"","topic":"AI in Service Interactions","field":"Computer Science","cited_by":148,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Productivity; Computer science; Bridging (networking); Software; Software development; Team software process; Software quality; Software engineering; Software development process; Computer security; Operating system","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":[0.006093965,0.001124487,0.0006008152,0.00206082,0.002240505,0.003231169,0.001436396,0.002329973,0.005798858],"category_scores_gemma":[0.04603526,0.0007659084,0.0006080435,0.001198433,0.002062107,0.004353628,0.003018457,0.002749217,0.003185026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002396172,"about_ca_system_score_gemma":0.002478271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005972466,"about_ca_topic_score_gemma":0.007586293,"domain_scores_codex":[0.9914682,0.002972587,0.0004344466,0.001156342,0.002591473,0.001376967],"domain_scores_gemma":[0.9212141,0.03355034,0.01190324,0.01289018,0.0131203,0.007321896],"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":[0.001097571,0.001618306,0.2774767,0.0007938383,0.0003755685,0.004094578,0.02018404,0.0205928,0.08213861,0.04351476,0.0448633,0.50325],"study_design_scores_gemma":[0.0005833239,0.004471617,0.3357563,0.0008258012,0.0007275362,0.008509968,0.03586484,0.1514853,0.06404481,0.1759658,0.2211232,0.0006414526],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8371105,0.0009747713,0.08244431,0.01817459,0.0006877143,0.0001574896,0.0003400023,0.003497154,0.05661343],"genre_scores_gemma":[0.9768364,0.0004551025,0.01139575,0.001457555,0.0001578805,0.0000669458,0.00009972412,0.0004262338,0.009104368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006093965,"threshold_uncertainty_score":0.03222835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02030259300233728,"score_gpt":0.2449284364366128,"score_spread":0.2246258434342756,"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."}}