{"id":"W1989943253","doi":"10.1145/1321631.1321703","title":"Feature interaction analysis","year":2007,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Feature (linguistics); Feature model; Software; Software engineering; Code (set theory); Data mining; Programming language; Set (abstract data type)","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":[0.0002929278,0.00003570971,0.000046964,0.0003053072,0.00002040155,0.00006302822,0.0002936326,0.00002535223,0.00003351443],"category_scores_gemma":[0.0002076316,0.00003003524,0.00004523197,0.001425588,0.000004089419,0.000195616,0.00007325484,0.00009840493,0.0000746479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003597904,"about_ca_system_score_gemma":0.000009099073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001527977,"about_ca_topic_score_gemma":0.00002002469,"domain_scores_codex":[0.9995143,0.000005402429,0.00003927173,0.0001323312,0.0001672693,0.0001413855],"domain_scores_gemma":[0.9993291,0.0002749703,0.000008270953,0.0002736926,0.00003958576,0.00007440125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001848251,0.0001449792,0.4491267,0.00002181248,0.001099653,0.0002120274,0.001182029,0.008404381,0.004723497,0.05829311,0.08661168,0.3901617],"study_design_scores_gemma":[0.0001569217,0.00004812854,0.7835683,0.000004204413,0.00003023378,0.00001967933,0.00004004048,0.1374157,0.01703662,0.0001862047,0.06124241,0.0002515338],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0225252,0.00001336169,0.974107,0.0007840454,0.0001431178,0.00001975945,5.092429e-8,0.0002763594,0.002131162],"genre_scores_gemma":[0.9229736,7.786845e-7,0.07447682,0.00009286893,0.00003236735,7.75899e-7,7.067957e-7,0.000002015824,0.002420014],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9004484,"threshold_uncertainty_score":0.1224802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01307742879310392,"score_gpt":0.3024712372942874,"score_spread":0.2893938085011835,"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."}}