{"id":"W2982496367","doi":"","title":"Towards using task similarity to recommend Stack Overflow posts.","year":2018,"lang":"en","type":"article","venue":"Conferencia Iberoamericana de Software Engineering","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Task (project management); Stack (abstract data type); Similarity (geometry); Artificial intelligence; Programming language; Engineering","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":[0.002048067,0.001069415,0.001198876,0.008763984,0.001096912,0.002357328,0.001098297,0.001904228,0.002988066],"category_scores_gemma":[0.01420652,0.0003117064,0.0007553516,0.00352579,0.0003464014,0.003909855,0.001153255,0.001380629,0.003707833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007930664,"about_ca_system_score_gemma":0.002113573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007708355,"about_ca_topic_score_gemma":0.01366852,"domain_scores_codex":[0.9976791,0.0006447408,0.0002417504,0.0005714272,0.0006177794,0.000245244],"domain_scores_gemma":[0.9926387,0.00372756,0.000719458,0.0005094904,0.001850122,0.0005546566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002651911,0.001802439,0.04521539,0.0009721622,0.0004612733,0.0003470585,0.0009709373,0.01131156,0.03071668,0.003103102,0.06665919,0.8357884],"study_design_scores_gemma":[0.000281233,0.001186696,0.0395637,0.0001925128,0.0004392804,0.0005274533,0.001910793,0.8893216,0.02424076,0.0158038,0.02637139,0.0001607442],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5663235,0.008587169,0.381453,0.002180879,0.001488928,0.00129541,0.01087395,0.01192763,0.01586959],"genre_scores_gemma":[0.8158738,0.001068479,0.1556168,0.0004365964,0.001069251,0.000423223,0.01291056,0.0004262049,0.0121752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008763984,"threshold_uncertainty_score":0.01532692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02072717355024711,"score_gpt":0.2789291575700679,"score_spread":0.2582019840198208,"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."}}