{"id":"W6944725459","doi":"10.21227/zece-e657","title":"Stack Overflow Dataset for User Engagement, Technology and Emotion Analysis","year":2025,"lang":"en","type":"dataset","venue":"IEEE DataPort","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Stack (abstract data type); Key (lock); Reputation; User engagement; Big data; Data source; Emotion classification","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":[0.0009964316,0.001591872,0.0009236817,0.003179201,0.001121555,0.001540863,0.001608272,0.001760899,0.01644405],"category_scores_gemma":[0.004233796,0.0002936076,0.0009308126,0.003575191,0.0004026827,0.001276448,0.002266278,0.001220438,0.02399125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001297155,"about_ca_system_score_gemma":0.001807023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02199477,"about_ca_topic_score_gemma":0.04692909,"domain_scores_codex":[0.998764,0.0002354207,0.0001593459,0.0002616386,0.0003760316,0.0002035984],"domain_scores_gemma":[0.9982248,0.0004656881,0.0001689112,0.0003926176,0.0004924345,0.000255634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001681299,0.000133798,0.004676741,0.0005860459,0.0000480183,0.00009903758,0.0002160699,0.0005028921,0.000651781,0.001171315,0.9810152,0.01073087],"study_design_scores_gemma":[0.0002274989,0.0001120707,0.03371914,0.0003112764,0.00005701266,0.0002650254,0.0007894236,0.002923954,0.001741584,0.002101031,0.9576451,0.0001068234],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003317463,0.0001152164,0.0003127904,0.0001739538,0.00005213496,0.00006457313,0.9938303,0.0006122089,0.00152153],"genre_scores_gemma":[0.002706497,0.00004646855,0.0008117637,0.00005239633,0.00001409311,0.0001854581,0.9950914,0.00004801074,0.001043819],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02199477,"threshold_uncertainty_score":0.05501086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03213331979825961,"score_gpt":0.3372897989300214,"score_spread":0.3051564791317617,"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."}}