{"id":"W4321496277","doi":"10.1145/3579990","title":"Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization","year":2023,"lang":"en","type":"paratext","venue":"","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Code generation; Computer science; Code (set theory); Software engineering; Software; Program optimization; Computer architecture; Operating system; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003289417,0.0001972137,0.0002106047,0.0001600828,0.00007748803,0.0002806732,0.001593304,0.0002387434,0.00003446062],"category_scores_gemma":[0.00005389729,0.000142353,0.00005886131,0.0003108788,0.00004243276,0.0003906386,0.0004050817,0.0001849084,0.000112818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009826459,"about_ca_system_score_gemma":0.00005599194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002591592,"about_ca_topic_score_gemma":0.000006174765,"domain_scores_codex":[0.9985045,0.00003173773,0.0003744207,0.0004671752,0.0004939333,0.0001282934],"domain_scores_gemma":[0.9987544,0.00006122291,0.0003848904,0.0004015658,0.0003666234,0.00003126081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003257474,0.00002834358,0.000007999113,0.0001036395,0.00004599828,2.973076e-7,0.0003494073,0.008655508,0.02020254,0.02898106,0.941057,0.0005649842],"study_design_scores_gemma":[0.000307328,0.0002263223,0.00001623656,0.0007471674,0.00002239816,0.00002704967,0.00005048934,0.7023872,0.2714833,0.0005189415,0.02361979,0.0005938143],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0003042989,0.00005023649,0.6924629,0.003448426,0.008139865,0.001319741,0.00005686634,0.0004833046,0.2937344],"genre_scores_gemma":[0.0363178,0.002558718,0.3097911,0.001415311,0.00319154,0.0006423704,0.0001838494,0.0002158064,0.6456835],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9174372,"threshold_uncertainty_score":0.5804987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04995592648077275,"score_gpt":0.2958949689217165,"score_spread":0.2459390424409438,"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."}}