{"id":"W2998142337","doi":"10.26483/ijarcs.v10i6.6497","title":"INTERACTION ANALYSIS OVER SPEECH FOR CALL CENTRE","year":2019,"lang":"en","type":"article","venue":"International Journal of Advanced Research in Computer Science","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Call centre; Speech recognition; World Wide Web; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00385548,0.0001023146,0.0002430627,0.002651429,0.00007017102,0.000517327,0.003338837,0.00003879983,0.00001397832],"category_scores_gemma":[0.0003259114,0.00008640852,0.000176269,0.002552131,0.0001247346,0.002374634,0.0005031989,0.0003478157,0.00002729824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005420119,"about_ca_system_score_gemma":0.0005513606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004535923,"about_ca_topic_score_gemma":0.00003717437,"domain_scores_codex":[0.9963129,0.0001193012,0.0005366892,0.000426292,0.002150957,0.0004539004],"domain_scores_gemma":[0.9960073,0.0006226471,0.0002816578,0.0003755548,0.002489139,0.0002236888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005946126,0.0005900936,0.03819511,0.00003961923,0.0004238039,0.0004430567,0.001893668,0.1910692,0.02854537,0.01517402,0.001846998,0.7211845],"study_design_scores_gemma":[0.002779097,0.0006697497,0.02149945,0.0002945544,0.000009232321,0.0002089934,0.0001106854,0.940401,0.0137687,0.009826788,0.01012465,0.0003071511],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.296349,0.00005045942,0.6952945,0.002019307,0.005659073,0.0002636958,0.000003538831,0.00001394505,0.0003464861],"genre_scores_gemma":[0.8628576,0.0000172519,0.136547,0.0001357708,0.0003607838,0.000002739518,0.000001277452,0.000004360128,0.00007316548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7493318,"threshold_uncertainty_score":0.6204446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04110760722433496,"score_gpt":0.4040420514168758,"score_spread":0.3629344441925408,"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."}}