{"id":"W2044987604","doi":"10.1145/1066129.1066143","title":"FeaturePlugin","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":222,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Feature model; Feature (linguistics); Computer science; Cardinality (data modeling); Eclipse; Key (lock); Product (mathematics); Product line; Data mining; Programming language; Engineering; Mathematics; Manufacturing 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000970156,0.00004789491,0.00004889143,0.00002984112,0.00002100518,0.0000230911,0.0003685404,0.00002154099,0.000003785397],"category_scores_gemma":[0.000174003,0.00003913719,0.00001805256,0.0001541857,0.000009946903,0.0002188589,0.00009454439,0.00005871333,0.00005166298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002524691,"about_ca_system_score_gemma":0.00001532498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002870881,"about_ca_topic_score_gemma":5.687351e-7,"domain_scores_codex":[0.9996301,0.000008217915,0.00004348639,0.0001352602,0.00006726529,0.0001156759],"domain_scores_gemma":[0.9995688,0.00007556231,0.000008558904,0.0003067625,0.00001300455,0.00002735581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[4.55407e-7,0.000009273017,0.00001245476,0.000002602166,0.000003299225,0.00001718305,0.0001531218,0.1161478,0.001374667,0.8539887,0.000298167,0.02799229],"study_design_scores_gemma":[0.0003364244,0.00005079545,0.001995737,0.000008148547,9.023211e-7,0.00005356288,0.0000100113,0.000577725,0.05792755,0.9331467,0.005639037,0.0002534009],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003649013,0.00005906761,0.994685,0.0008305483,0.0002534827,0.00002465934,4.876153e-8,0.001174974,0.002607323],"genre_scores_gemma":[0.05396228,0.000002850251,0.9454499,0.0002281847,0.00001623371,0.00000267619,8.320417e-8,0.000002824299,0.0003349239],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1155701,"threshold_uncertainty_score":0.1595968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02056469185062501,"score_gpt":0.266312663176261,"score_spread":0.245747971325636,"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."}}