{"id":"W4323076526","doi":"10.48550/arxiv.2303.01415","title":"Local data structures","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Data structure; Metric space; Context (archaeology); Theoretical computer science; Metric (unit); Set (abstract data type); Cluster analysis; Mathematics; Algorithm; Data mining; Discrete mathematics; Geography; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0002538833,0.000251831,0.000224784,0.0002463322,0.0001176099,0.0003146479,0.00914263,0.0001526319,0.00002979168],"category_scores_gemma":[0.00002168117,0.0002796341,0.00007784679,0.0005706985,0.0001093853,0.0009451114,0.02552435,0.0004210765,0.0004397119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006448526,"about_ca_system_score_gemma":0.00009313784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002583391,"about_ca_topic_score_gemma":0.00007718513,"domain_scores_codex":[0.9977595,0.00006451782,0.000139092,0.001590034,0.0001180535,0.0003287636],"domain_scores_gemma":[0.9953502,0.00005489314,0.0001327176,0.004300498,0.00004653603,0.0001151173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009543844,0.00005112388,0.0006451778,0.000130754,0.0002422901,0.001676575,0.0000691904,0.1046212,0.000001538414,0.8245195,0.05183662,0.01619655],"study_design_scores_gemma":[0.0001847562,0.000012171,0.001822761,0.00002790923,0.00004527076,0.00000114624,0.00004237777,0.8513423,0.000006426427,0.1372437,0.008920989,0.0003501421],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002216404,0.00002718318,0.9935088,0.0002173182,0.001448036,0.0001712283,0.000182683,0.0006456915,0.001582714],"genre_scores_gemma":[0.9833929,0.0002152161,0.007259737,0.0001394745,0.0001628039,3.723391e-7,0.000815563,0.00002627624,0.007987643],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.986249,"threshold_uncertainty_score":0.9999656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1986040978297434,"score_gpt":0.2164059414001464,"score_spread":0.01780184357040293,"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."}}