{"id":"W4221075496","doi":"10.1145/3503646.3524295","title":"TONE","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Latency (audio); Adaptability; Memory footprint; Popularity; Search engine indexing; Low latency (capital markets); Overhead (engineering); Embedded system; Operating system; Computer network; Telecommunications; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000691913,0.00002249364,0.00003028881,0.00001615081,0.0001372646,0.000006760779,0.000174798,0.000001924328,0.0002794614],"category_scores_gemma":[0.000002648241,0.00001948129,0.00001053904,0.0001176565,0.000004583583,0.000187931,0.0004449275,0.00003144118,0.00003252687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001090813,"about_ca_system_score_gemma":0.00001152871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002499652,"about_ca_topic_score_gemma":0.000002476456,"domain_scores_codex":[0.9996783,0.00001501051,0.0000450646,0.00009584711,0.00009940872,0.00006642225],"domain_scores_gemma":[0.9997174,0.000009165256,0.00001160318,0.0002389422,0.000005550935,0.00001737441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[2.867717e-7,0.000005704677,0.00002312753,5.472308e-7,7.190347e-7,0.000005850854,0.00006352616,0.0000750234,0.0002135312,0.9879862,0.005009564,0.006615888],"study_design_scores_gemma":[0.00004288798,0.00002112463,0.00006767621,2.308366e-7,1.203876e-7,0.00002174174,0.00007130666,0.002350291,0.0004136468,0.0009484849,0.9960205,0.00004201698],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006541124,0.00005213625,0.977052,0.0004861294,0.0002281598,0.00002724309,0.000003218072,0.0001173591,0.02137969],"genre_scores_gemma":[0.3676653,0.000002748797,0.5988345,0.002082822,0.00006268216,0.00008447545,0.000007534506,0.000005897122,0.03125415],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9910109,"threshold_uncertainty_score":0.3059906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01170369491834486,"score_gpt":0.2590924350100567,"score_spread":0.2473887400917119,"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."}}