{"id":"W2063121583","doi":"10.1016/s1389-1286(00)00012-8","title":"Feature interaction detection contest of the Fifth International Workshop on Feature Interactions","year":2000,"lang":"en","type":"article","venue":"Computer Networks","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"CONTEST; Feature (linguistics); Computer science; Artificial intelligence; Operations research; Human–computer interaction; Mathematics; Linguistics; Political science","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":[0.0002305342,0.0001908649,0.0001627809,0.0001083371,0.0001847396,0.0001796802,0.001221734,0.00014758,0.00006114574],"category_scores_gemma":[0.00003540672,0.000147203,0.0001606681,0.0005654891,0.00006127646,0.0006643381,0.0001903939,0.0007761093,0.00003480245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001279878,"about_ca_system_score_gemma":0.00001758749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005432395,"about_ca_topic_score_gemma":0.00001653283,"domain_scores_codex":[0.9986836,0.0002072245,0.0002269488,0.0003908934,0.0002828128,0.0002085098],"domain_scores_gemma":[0.9985572,0.0002178484,0.0002302514,0.0007966182,0.0001430997,0.00005504477],"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":[0.00007001057,0.00009727331,0.0001260816,0.000004574029,0.00004498143,0.000001618399,0.0003817288,0.07526058,0.0001241931,0.002874916,0.01111742,0.9098966],"study_design_scores_gemma":[0.0002233188,0.00006009449,0.009355282,0.0001720774,0.000008008219,0.00005940613,0.00001124416,0.863769,0.0007813178,0.0001494747,0.1252655,0.000145343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009380864,0.00005539916,0.9752789,0.002806028,0.009164779,0.0002503283,0.000002227702,0.0001605168,0.002900984],"genre_scores_gemma":[0.8936054,0.00005328911,0.1017764,0.001113634,0.001326938,0.00003032693,0.00001126632,0.00001984004,0.002062928],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9097513,"threshold_uncertainty_score":0.6002764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01954771498117694,"score_gpt":0.284017725111381,"score_spread":0.264470010130204,"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."}}