{"id":"W4321787049","doi":"10.1007/s10664-022-10272-w","title":"Semantically-enhanced topic recommendation systems for software projects","year":2023,"lang":"en","type":"article","venue":"Empirical Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Metadata; Recommender system; Software; Information retrieval; World Wide Web; Software engineering; Data science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002921238,0.0009709303,0.001170439,0.004982917,0.00100938,0.002273624,0.001499366,0.001515796,0.005274057],"category_scores_gemma":[0.0150265,0.0004857296,0.001578085,0.003878789,0.0003447636,0.004117961,0.003070029,0.00152596,0.004235743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007845822,"about_ca_system_score_gemma":0.001502652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00514265,"about_ca_topic_score_gemma":0.01328722,"domain_scores_codex":[0.9972513,0.0008534176,0.0003132078,0.0006475815,0.000727671,0.0002067786],"domain_scores_gemma":[0.9932594,0.002687944,0.000393035,0.001713409,0.001587812,0.0003584253],"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":[0.001618491,0.0007016989,0.01259964,0.0008899441,0.0004949311,0.000306513,0.001220286,0.01792742,0.02779364,0.01379002,0.04428585,0.8783715],"study_design_scores_gemma":[0.0004768442,0.0006615195,0.01020222,0.0002349876,0.0006930134,0.0007129628,0.0008571367,0.8372187,0.02743153,0.06222538,0.05906446,0.0002212998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06399181,0.00180296,0.8800558,0.0007802607,0.000418434,0.0004622771,0.005212432,0.04284619,0.004429901],"genre_scores_gemma":[0.2602555,0.0008125278,0.7190115,0.0002598594,0.0003444139,0.0003048592,0.01294229,0.001243843,0.004825171],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005274057,"threshold_uncertainty_score":0.01764345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05002282827660898,"score_gpt":0.3143586557869092,"score_spread":0.2643358275103002,"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."}}