{"id":"W1601900113","doi":"10.1007/978-3-642-45005-1_9","title":"Detection of SOA Patterns","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Software Engineering Research","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005943425,0.0003456578,0.0003885619,0.001009699,0.00008508306,0.0002536532,0.003074971,0.0002623071,0.00004021192],"category_scores_gemma":[0.0002587606,0.0003237879,0.0001053468,0.0005436133,0.0003193583,0.0004911135,0.001225907,0.0007339543,0.00008729554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002422202,"about_ca_system_score_gemma":0.0002648404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006960817,"about_ca_topic_score_gemma":0.00003022565,"domain_scores_codex":[0.9968938,0.00002027985,0.0004042306,0.001013608,0.001121924,0.000546167],"domain_scores_gemma":[0.9970618,0.0009052763,0.0001738676,0.001405877,0.0003103428,0.0001427918],"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":[0.000001493944,0.00001592934,0.0003587327,0.00008755083,0.000009847302,0.00002698686,0.0002981676,0.01273188,0.001545266,0.001950001,0.000006815115,0.9829673],"study_design_scores_gemma":[0.0004461116,0.0005492655,0.007919608,0.0009774502,0.000008773828,0.0001287937,1.421762e-7,0.852352,0.06462134,0.07063233,0.001021878,0.001342291],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001267881,0.0001913446,0.9961774,0.0001152383,0.001401183,0.0002984616,0.000002614124,0.000187705,0.0003581787],"genre_scores_gemma":[0.8546907,0.00002889403,0.1445508,0.0001270385,0.0002701313,0.00001306495,0.000001303191,0.00003491762,0.0002831569],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.981625,"threshold_uncertainty_score":0.9999214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01539189116962523,"score_gpt":0.2412983806696382,"score_spread":0.225906489500013,"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."}}