{"id":"W1603321854","doi":"10.1007/3-540-44651-6_2","title":"Use of agents for resolving feature interactions","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Feature (linguistics); Computer science; Forcing (mathematics); Set (abstract data type); Distributed computing; Theoretical computer science; Mathematics; 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":[0.002080425,0.001111862,0.0007253402,0.001288992,0.001636627,0.003620491,0.002631657,0.001858786,0.006248515],"category_scores_gemma":[0.01063311,0.0008363095,0.0008509946,0.0008853396,0.001344915,0.005097815,0.004127963,0.002136246,0.002115857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005189194,"about_ca_system_score_gemma":0.000809359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001467701,"about_ca_topic_score_gemma":0.00251575,"domain_scores_codex":[0.997759,0.0006033353,0.0001968506,0.0004036007,0.0008324126,0.0002048862],"domain_scores_gemma":[0.9947084,0.002254259,0.0004563956,0.001777447,0.0005917277,0.0002117926],"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":[0.0007438252,0.000495311,0.003377016,0.000551192,0.0002002721,0.001549914,0.003574563,0.01567163,0.04822384,0.1453836,0.01978497,0.7604438],"study_design_scores_gemma":[0.0002246814,0.0002706268,0.001216575,0.000257246,0.0004569705,0.002093795,0.0008532415,0.4561417,0.139112,0.116568,0.2826117,0.0001935485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02001124,0.0004427495,0.9422557,0.0003295114,0.0002178407,0.0002270144,0.00008129617,0.01363947,0.02279514],"genre_scores_gemma":[0.2743145,0.0003894539,0.701277,0.0002243095,0.00009117738,0.000193508,0.0003336754,0.001753018,0.02142349],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006248515,"threshold_uncertainty_score":0.02090335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06322423509768117,"score_gpt":0.2966294101648606,"score_spread":0.2334051750671794,"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."}}