{"id":"W2738381526","doi":"10.1007/s10664-017-9533-1","title":"EnTagRec ++: An enhanced tag recommendation system for software information sites","year":2017,"lang":"en","type":"article","venue":"Empirical Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":81,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Ask price; Computer science; Set (abstract data type); Software; Recall; Precision and recall; Information retrieval; World Wide Web; 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":[0.001348254,0.002136433,0.001820965,0.00656359,0.0008174213,0.001751794,0.001866828,0.001464525,0.01829223],"category_scores_gemma":[0.00472981,0.0007555838,0.001085889,0.004202435,0.0001555013,0.002598465,0.001932231,0.0010509,0.02448685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005588545,"about_ca_system_score_gemma":0.000764681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01012002,"about_ca_topic_score_gemma":0.02454728,"domain_scores_codex":[0.9985982,0.0002472289,0.0001167807,0.0002694004,0.0006571586,0.0001112676],"domain_scores_gemma":[0.9968401,0.0008089839,0.000229141,0.001014995,0.0007411945,0.000365675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00257105,0.0007895195,0.009116318,0.0009400913,0.0005154988,0.0004918572,0.0002275178,0.003730399,0.0317568,0.001738963,0.2596158,0.6885062],"study_design_scores_gemma":[0.001048348,0.001483612,0.02750801,0.0001927493,0.0008484466,0.001502642,0.000484764,0.5298834,0.09586393,0.009831788,0.3305325,0.0008197309],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.04843058,0.001659951,0.2989514,0.0006614004,0.0005055787,0.0012362,0.05757356,0.5786976,0.01228381],"genre_scores_gemma":[0.1789683,0.00125164,0.6316577,0.0008744651,0.0004250022,0.0008415827,0.1246404,0.008985099,0.05235577],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01829223,"threshold_uncertainty_score":0.06119359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03528399466237,"score_gpt":0.3128422166076763,"score_spread":0.2775582219453063,"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."}}