{"id":"W2912716673","doi":"","title":"Proceedings of the 8th annual IEEE/ACM international symposium on Code generation and optimization","year":2010,"lang":"en","type":"article","venue":"","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Library science; Pleasure; Computer science; Operations research; Psychology; Engineering","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":[0.004337023,0.001929327,0.001729126,0.002221061,0.0008750419,0.003251905,0.002303027,0.001215964,0.05961445],"category_scores_gemma":[0.009303005,0.0007961425,0.001473399,0.001642765,0.001040303,0.002351969,0.002790764,0.002798834,0.02082693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001254538,"about_ca_system_score_gemma":0.003680659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003872022,"about_ca_topic_score_gemma":0.005500412,"domain_scores_codex":[0.9967007,0.001118108,0.0002742285,0.0003594696,0.001266356,0.0002811659],"domain_scores_gemma":[0.9943422,0.00168572,0.0001968904,0.00182747,0.001509203,0.0004385034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002962776,0.0002073235,0.001604971,0.0005374447,0.0001439589,0.0001678524,0.000126219,0.00878484,0.004753588,0.01535852,0.4823243,0.4856947],"study_design_scores_gemma":[0.0001540361,0.0003533221,0.00306733,0.0006062587,0.0001062512,0.0006721733,0.0001619091,0.09145842,0.009140632,0.04566321,0.8485355,0.000080915],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02694525,0.03275991,0.7192103,0.009478069,0.01933852,0.002144711,0.006701116,0.02685943,0.1565628],"genre_scores_gemma":[0.095186,0.01734215,0.5864302,0.002901272,0.003250184,0.001673251,0.02453578,0.01637322,0.2523079],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05961445,"threshold_uncertainty_score":0.1994302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01006512576982966,"score_gpt":0.2258195480066808,"score_spread":0.2157544222368511,"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."}}