{"id":"W2061720486","doi":"10.1142/s0218194010004827","title":"AUTOMATED STAGED CONFIGURATION WITH SEMANTIC WEB TECHNOLOGIES","year":2010,"lang":"en","type":"article","venue":"International Journal of Software Engineering and Knowledge Engineering","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; National Research Council Canada; University of British Columbia; Athabasca University","funders":"","keywords":"Feature (linguistics); Computer science; Feature model; Software deployment; Software engineering; Software; Semantic Web; Semantic feature; World Wide Web; Artificial intelligence; 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":[0.002400623,0.001206038,0.00139631,0.001989534,0.001275991,0.002831055,0.002158073,0.001397873,0.003232784],"category_scores_gemma":[0.008087638,0.001040426,0.001415805,0.001998219,0.001488234,0.004198259,0.002660943,0.00132183,0.001281924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001069211,"about_ca_system_score_gemma":0.001965652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004808714,"about_ca_topic_score_gemma":0.005639237,"domain_scores_codex":[0.9957759,0.001160182,0.000353664,0.0007936188,0.001609421,0.0003073111],"domain_scores_gemma":[0.9938675,0.002276581,0.0003903703,0.002522047,0.000796483,0.0001470605],"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":[0.001030179,0.0004066314,0.007091426,0.0003394929,0.0001905527,0.001587722,0.001048948,0.1984298,0.03710129,0.04518543,0.01201686,0.6955717],"study_design_scores_gemma":[0.0001023607,0.0001165681,0.001028696,0.00007335016,0.00006368648,0.0004148031,0.0002473793,0.8672296,0.04200104,0.0743572,0.01427011,0.00009515247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03386084,0.0001965077,0.9395099,0.0001875111,0.00005722332,0.0002467152,0.0002413299,0.02150349,0.004196387],"genre_scores_gemma":[0.3401793,0.0001901381,0.6551608,0.0001108949,0.00001901317,0.0001705057,0.0009970149,0.001009622,0.00216268],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004808714,"threshold_uncertainty_score":0.01269585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003085032323743392,"score_gpt":0.2052099813773683,"score_spread":0.202124949053625,"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."}}