{"id":"W2093453496","doi":"10.1145/1984701.1984707","title":"Towards understanding twitter use in software engineering","year":2011,"lang":"en","type":"article","venue":"","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Software engineering; Software; Social software engineering; Data science; Software development; World Wide Web; Software construction; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001781022,0.00003057461,0.0000328161,0.0000646548,0.00006164797,0.00005038281,0.00005550013,0.00003550029,0.0008569424],"category_scores_gemma":[0.0002397113,0.00003057705,0.000009316363,0.0002754277,0.00002006391,0.0002925686,0.000006889358,0.00003663491,0.0000204176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001966575,"about_ca_system_score_gemma":0.0001052638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002187477,"about_ca_topic_score_gemma":0.004133359,"domain_scores_codex":[0.9996412,0.00002204274,0.00006588003,0.00006604141,0.00009822837,0.0001066122],"domain_scores_gemma":[0.9998507,0.00002681318,0.00001187711,0.00004994996,0.0000257428,0.0000349034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000005029367,0.00005535318,0.169085,0.000004202052,0.000004479422,0.000002046151,0.1318163,0.00001885774,0.00002122251,0.6944538,0.003780799,0.0007528766],"study_design_scores_gemma":[0.0007359654,0.00005360946,0.5111713,0.0000852823,0.00001389145,8.506964e-7,0.3185823,0.0004283906,0.001002165,0.03121237,0.1358829,0.0008310524],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6830782,0.00001996474,0.09577061,0.001496523,0.001766071,0.0002870515,9.022232e-7,0.0003215752,0.2172591],"genre_scores_gemma":[0.9897517,0.000005938991,0.008125595,0.0002186192,0.00005905117,0.000005897175,5.676306e-7,0.000003481253,0.001829144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6632414,"threshold_uncertainty_score":0.9382918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1719730858609809,"score_gpt":0.3222266836787477,"score_spread":0.1502535978177669,"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."}}