{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006756042,0.0006084365,0.0003995938,0.000974488,0.001533499,0.003919105,0.001262931,0.001565462,0.3972993],"category_scores_gemma":[0.003767767,0.0002481577,0.0003805175,0.0008818885,0.0005561511,0.002603928,0.002686002,0.001200434,0.2557058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000909497,"about_ca_system_score_gemma":0.001418852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001395935,"about_ca_topic_score_gemma":0.001844323,"domain_scores_codex":[0.9990501,0.00009942803,0.00005452739,0.0002010054,0.0004414965,0.0001534143],"domain_scores_gemma":[0.9984924,0.0001512216,0.00007974936,0.0002808109,0.0007476175,0.0002481833],"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":[0.0003894056,0.0001065167,0.00149864,0.0005976031,0.00001901399,0.0005742751,0.0005026006,0.0003749196,0.009739527,0.07352528,0.4864532,0.426219],"study_design_scores_gemma":[0.0000162995,0.00004187438,0.0006602146,0.00008209168,0.000006922811,0.000333722,0.0001531441,0.0002410318,0.001962486,0.007021333,0.9894692,0.00001176422],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005976225,0.002095021,0.01498658,0.006668843,0.006613028,0.0002824303,0.003846035,0.002618183,0.9569136],"genre_scores_gemma":[0.06853965,0.002422645,0.009424663,0.005292689,0.001497373,0.0002856037,0.005611576,0.001036428,0.9058893],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6027007,"threshold_uncertainty_score":0,"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."}}