{"id":"W2262121664","doi":"10.5555/2872965.2872969","title":"Semantic selection for model composition using SAMSaaS","year":2015,"lang":"en","type":"article","venue":"","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Ontology; Reuse; Semantics (computer science); Software engineering; Domain (mathematical analysis); Unified Modeling Language; Selection (genetic algorithm); Artificial intelligence; Software; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007155492,0.00004930967,0.00008242745,0.000106982,0.0001216441,0.0001043784,0.0001268402,0.00003956664,0.00003265365],"category_scores_gemma":[0.0001165511,0.0000384091,0.00004545608,0.0003458398,0.00001482155,0.0001961303,0.00002043176,0.00002519751,0.00003612555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004547536,"about_ca_system_score_gemma":0.00004766172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003053755,"about_ca_topic_score_gemma":0.00000793768,"domain_scores_codex":[0.9991297,0.00001922915,0.0002446595,0.0001860279,0.0003336355,0.00008676515],"domain_scores_gemma":[0.9990569,0.0001454295,0.00007494586,0.0001584212,0.0005021991,0.00006209454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003925961,0.0001063812,0.002441443,0.000002460987,0.000006322465,4.468932e-8,0.0002266908,0.7697209,0.02658804,0.1450769,0.04148119,0.01431038],"study_design_scores_gemma":[0.0001199867,0.00001567453,0.00004000539,0.00000124014,0.000004125957,0.000001914435,0.00004763373,0.8124567,0.005161162,0.1802359,0.001869985,0.00004568986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1190764,0.000003276027,0.8775979,0.0003773234,0.00002960836,0.000258032,0.000003621278,0.0001014223,0.002552459],"genre_scores_gemma":[0.8305824,1.95393e-7,0.1680387,0.0001870779,0.00003822043,0.00002061071,0.00000470854,0.000004812088,0.001123239],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.711506,"threshold_uncertainty_score":0.1566278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5498139205482993,"score_gpt":0.5267562156959017,"score_spread":0.02305770485239755,"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."}}