{"id":"W4312621027","doi":"10.14778/3561261.3561270","title":"TreeLine","year":2022,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Merge (version control); Associative array; Workload; Key (lock); Point (geometry); Parallel computing; Operating system; Artificial intelligence","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":[0.000521258,0.0007108505,0.0005463132,0.0008187692,0.0007240584,0.002665482,0.002321659,0.0008349948,0.09730415],"category_scores_gemma":[0.001952013,0.0005553111,0.0005447761,0.001652771,0.0003428853,0.00403424,0.001819288,0.0009991275,0.07169221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007351177,"about_ca_system_score_gemma":0.001091431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003246931,"about_ca_topic_score_gemma":0.005589445,"domain_scores_codex":[0.9994465,0.00004837959,0.00005250458,0.0001301689,0.0002216943,0.0001007246],"domain_scores_gemma":[0.9989317,0.0001440837,0.00006837387,0.0003465344,0.000413803,0.0000955056],"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":[0.0009933518,0.0001608028,0.002550877,0.0008946854,0.00007771868,0.0002104198,0.0004191799,0.001384244,0.01610859,0.02228866,0.7201733,0.2347382],"study_design_scores_gemma":[0.000144857,0.0001557895,0.001010424,0.00007593005,0.0000310836,0.0003208855,0.0001496015,0.008125511,0.01489617,0.008412334,0.9666282,0.00004928839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.03547453,0.005205904,0.15811,0.002351537,0.001453025,0.0007664534,0.07351161,0.4249056,0.2982214],"genre_scores_gemma":[0.1807894,0.003726952,0.2106989,0.003640841,0.0005163531,0.0009720343,0.2531818,0.04510516,0.3013686],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.09730415,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270716641365919,"score_gpt":0.2213247458287374,"score_spread":0.2086175794150782,"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."}}