{"id":"W4401895333","doi":"10.1145/3680246","title":"DELETE THIS: Improving Performance with Rust, Stemming a Flood of AI Papers","year":2024,"lang":"en","type":"article","venue":"Communications of the ACM","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Rust (programming language); Flood myth; Programming language; History; Archaeology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01197204,0.001962448,0.002507354,0.008307022,0.004581086,0.01385522,0.004700332,0.003711101,0.1254269],"category_scores_gemma":[0.1124657,0.001600259,0.001862186,0.01098665,0.002060315,0.0144176,0.007328833,0.004169415,0.1006308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00121481,"about_ca_system_score_gemma":0.005410961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002920442,"about_ca_topic_score_gemma":0.00433502,"domain_scores_codex":[0.9877796,0.003081683,0.001186323,0.00137224,0.005717843,0.0008622318],"domain_scores_gemma":[0.9203687,0.02860099,0.002505125,0.02307597,0.01799954,0.00744969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001014019,0.0002892021,0.001717589,0.0003976927,0.00009046159,0.000265688,0.0006240379,0.001145014,0.003999027,0.004608756,0.7050776,0.2807708],"study_design_scores_gemma":[0.001184991,0.0008617664,0.003565561,0.0003845027,0.0003543901,0.001211231,0.001933581,0.04177569,0.03256006,0.06608773,0.8496842,0.0003962158],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"other","genre_scores_codex":[0.06845859,0.01013821,0.1808027,0.09150975,0.06144643,0.001472613,0.02350047,0.3784528,0.1842184],"genre_scores_gemma":[0.255576,0.005071668,0.3084925,0.02283082,0.01463492,0.0007505775,0.04138667,0.1041493,0.2471078],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8745731,"threshold_uncertainty_score":0.4195948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01993808675817178,"score_gpt":0.2451043220914352,"score_spread":0.2251662353332634,"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."}}