{"id":"W4400285708","doi":"10.1121/10.0027726","title":"A new experimental design to study speech adaptations in spontaneous human-computer conversations","year":2024,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Adaptation (eye); Linguistics; Speech recognition; Communication; Psychology; Philosophy; Neuroscience","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":[0.00859006,0.00175795,0.0009445156,0.000732873,0.00129105,0.001474853,0.001781735,0.002095938,0.01300275],"category_scores_gemma":[0.01931057,0.0009907995,0.001000669,0.0004567783,0.002134323,0.001567342,0.0025933,0.002302856,0.001369814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008058986,"about_ca_system_score_gemma":0.001626555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003097399,"about_ca_topic_score_gemma":0.0004143927,"domain_scores_codex":[0.991612,0.004060927,0.001086217,0.001591379,0.001178976,0.000470525],"domain_scores_gemma":[0.9798145,0.01254803,0.001619704,0.003298223,0.001829269,0.0008903237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.02544118,0.0354247,0.005455424,0.008763245,0.0005630372,0.0008982673,0.009337737,0.006677622,0.658299,0.05244244,0.005471769,0.1912255],"study_design_scores_gemma":[0.03196815,0.2844536,0.03437562,0.001460219,0.00238896,0.002198455,0.003364976,0.03524863,0.2850773,0.08278389,0.2355505,0.00112969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3273187,0.001099085,0.5842985,0.0009326516,0.00370847,0.06216086,0.001730192,0.001181277,0.01757027],"genre_scores_gemma":[0.2656692,0.0005883212,0.5216858,0.001110986,0.0005502068,0.2031277,0.0006395113,0.000325158,0.006303121],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01300275,"threshold_uncertainty_score":0.04542911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02954341382724935,"score_gpt":0.2900242211327761,"score_spread":0.2604808073055268,"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."}}