{"id":"W2110497515","doi":"10.1109/vetec.1994.345303","title":"Modeling the on-off patterns in conversational speech, including short silence gaps and the effects of interaction between speaking parties","year":2002,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Silence; Computer science; Speech recognition; Dynamics (music); Wireless; Telecommunications; Psychology; Acoustics","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":[0.0004445778,0.0006267052,0.0003851767,0.000224997,0.0002769484,0.0008998274,0.0009460516,0.0007777357,0.001549677],"category_scores_gemma":[0.001671072,0.0002744513,0.0005896262,0.0002251206,0.000332799,0.00105198,0.0004895985,0.0007010514,0.0005209424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003389104,"about_ca_system_score_gemma":0.0007097736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005935693,"about_ca_topic_score_gemma":0.005736523,"domain_scores_codex":[0.9997692,0.00008387516,0.00001156485,0.00004507653,0.0000564408,0.00003390554],"domain_scores_gemma":[0.9995335,0.000288837,0.00004451938,0.00003841685,0.00006434925,0.00003028538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001968506,0.000141945,0.002477117,0.00008424863,0.00005019368,0.0001366096,0.0003392485,0.9368798,0.01128796,0.01836302,0.0008167242,0.02922627],"study_design_scores_gemma":[0.00000491044,0.00002699735,0.0003852824,0.000002781196,0.0000117996,0.00001752516,0.00001693272,0.9954877,0.0006929603,0.002820654,0.0005258914,0.000006532032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1168453,0.0002806098,0.8728541,0.0003261961,0.0001023654,0.0000887464,0.000239291,0.0002736688,0.008989717],"genre_scores_gemma":[0.9200871,0.000635077,0.06732322,0.0000774259,0.0000914347,0.0002485661,0.0004403092,0.00008733234,0.01100951],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005935693,"threshold_uncertainty_score":0.01180232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07323419917407942,"score_gpt":0.3148781043921664,"score_spread":0.241643905218087,"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."}}