{"id":"W260116920","doi":"10.3217/jucs-005-09-0610","title":"Synchronization Expressions and Languages","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Queen's University","funders":"","keywords":"Synchronization (alternating current); Computer science; Linguistics; Telecommunications; Philosophy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002191886,0.00007168058,0.00007708807,0.0000652074,0.0008534968,0.0007024695,0.0007210875,0.00003257213,0.0007313362],"category_scores_gemma":[0.0005877793,0.00007003453,0.00001692985,0.0003684195,0.00004584129,0.0003334448,0.000957467,0.00009241236,0.002005829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003072894,"about_ca_system_score_gemma":0.000002903805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000693151,"about_ca_topic_score_gemma":7.371598e-8,"domain_scores_codex":[0.9990311,0.0001512336,0.0001155635,0.0002902588,0.0002379446,0.0001738962],"domain_scores_gemma":[0.9992907,0.00001540722,0.00004554411,0.0002455958,0.0002077578,0.0001949776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003543161,0.00009485001,0.0000199998,0.0001469854,0.00003781123,0.00005547858,0.009147488,0.0001013646,0.03753588,0.07424637,0.4180199,0.4605585],"study_design_scores_gemma":[0.0003864345,0.0001687968,0.0004294062,0.00002253076,0.000003659209,0.00007033954,0.000437649,0.007606667,0.001325356,0.0001758729,0.9892192,0.0001540157],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007485732,0.0005038178,0.7868477,0.007259139,0.0001244437,0.0005307145,0.00007571557,0.00276913,0.1944036],"genre_scores_gemma":[0.9970477,0.00003355638,0.001876863,0.0003991781,0.0001455315,1.872322e-8,0.0001484581,0.0002468956,0.0001017716],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.989562,"threshold_uncertainty_score":0.9987713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03194098606433664,"score_gpt":0.2391213699804707,"score_spread":0.207180383916134,"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."}}