{"id":"W2038637109","doi":"10.5555/2664360.2664388","title":"Systematic mapping of recommendation systems for requirements engineering","year":2012,"lang":"en","type":"article","venue":"International Conference on Software and System Process","topic":"Software Engineering Research","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Requirements engineering; Process (computing); Requirements analysis; Recommender system; Requirements management; User requirements document; Functional requirement; Quality (philosophy); Systems engineering; Product (mathematics); Work (physics); Software engineering; Engineering; Information retrieval; Software","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01391566,0.001409122,0.001117893,0.01563307,0.001976627,0.004722332,0.001230812,0.001321415,0.004552763],"category_scores_gemma":[0.05084985,0.001418977,0.002400118,0.01219038,0.00110875,0.005299184,0.002794403,0.001237636,0.001680524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0028178,"about_ca_system_score_gemma":0.007097719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01210761,"about_ca_topic_score_gemma":0.0102643,"domain_scores_codex":[0.9822686,0.009281323,0.001973375,0.001581996,0.004333267,0.0005614441],"domain_scores_gemma":[0.9572753,0.01897794,0.002602976,0.008325347,0.01244863,0.0003698503],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0003524804,0.0003064658,0.01702149,0.00390078,0.0004175987,0.0005452462,0.007504365,0.02121709,0.009368074,0.05223789,0.007073498,0.8800551],"study_design_scores_gemma":[0.0004172724,0.001995959,0.06618038,0.007260495,0.001334615,0.003016138,0.01735036,0.3474883,0.06120607,0.1862826,0.3066054,0.0008624304],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.04592752,0.002397057,0.9202826,0.0007793442,0.00009184149,0.002395242,0.001809004,0.004152685,0.02216459],"genre_scores_gemma":[0.1667697,0.001459272,0.8242769,0.0001085469,0.00001622164,0.001650364,0.003113771,0.0004419224,0.002163253],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9860843,"threshold_uncertainty_score":0.07359391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08301229068590288,"score_gpt":0.330319403439364,"score_spread":0.2473071127534611,"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."}}