{"id":"W2405076150","doi":"","title":"Problèmes d'évaluation dans la communication orale homme-machine.","year":2001,"lang":"fr","type":"article","venue":"Revue d intelligence artificielle","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001921009,0.0003327103,0.0003639107,0.0001720614,0.000499958,0.000554152,0.001443854,0.0002707806,0.0003158715],"category_scores_gemma":[0.0004025077,0.0003636128,0.0001979135,0.001245879,0.0004144354,0.0009473843,0.0003435785,0.0004053079,0.002416765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001343365,"about_ca_system_score_gemma":0.0002398426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001772549,"about_ca_topic_score_gemma":0.0005312006,"domain_scores_codex":[0.9963782,0.001032469,0.0008623175,0.0006823942,0.0004020146,0.0006425631],"domain_scores_gemma":[0.9968246,0.0006113591,0.0003389993,0.001731622,0.0002667025,0.0002267174],"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":[0.00005408394,0.001093394,0.003531073,0.0002923977,0.00006965063,0.0001678234,0.04320916,0.06336713,0.006022182,0.3719085,0.004964801,0.5053198],"study_design_scores_gemma":[0.0001063113,0.0001637748,0.000356459,0.0005635211,0.00003683042,0.0005459344,0.00197354,0.8645054,0.0214769,0.02238811,0.08737629,0.0005068898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0164694,0.01413181,0.85944,0.01047027,0.001872219,0.0007482322,0.00001581082,0.0002293371,0.09662296],"genre_scores_gemma":[0.9569274,0.002778226,0.01414347,0.0001945085,0.0002804137,0.0000777461,0.00005488244,0.00003694582,0.02550637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9404581,"threshold_uncertainty_score":0.9998816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0751382060932336,"score_gpt":0.2941005511464469,"score_spread":0.2189623450532133,"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."}}