{"id":"W7151522101","doi":"10.70675/379f95e1z6db2z46bczb78dz36a0f296fea2","title":"Systèmes de questions-réponses interactifs à grande échelle","year":2022,"lang":"","type":"dissertation","venue":"","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Conversation; Ivory tower; Research methodology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007209003,0.001911388,0.001528747,0.003075536,0.00191226,0.007540465,0.003998368,0.003291462,0.02352905],"category_scores_gemma":[0.02318368,0.001516258,0.002518115,0.002233332,0.003117282,0.01093975,0.004443734,0.00281894,0.009957775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002298745,"about_ca_system_score_gemma":0.002838042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009369901,"about_ca_topic_score_gemma":0.006608068,"domain_scores_codex":[0.9927826,0.002515489,0.0006661353,0.00209091,0.001701143,0.0002436065],"domain_scores_gemma":[0.9861428,0.007764469,0.0006387244,0.002320247,0.002724664,0.0004092029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001372657,0.0006919726,0.012523,0.004209625,0.0006181687,0.001666312,0.01614576,0.05004454,0.05604333,0.3776517,0.02414075,0.4548922],"study_design_scores_gemma":[0.000181981,0.0005635381,0.007215537,0.0009783905,0.0004717184,0.001355944,0.003665874,0.3478017,0.05464299,0.2503133,0.3323388,0.0004702492],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01455373,0.00070979,0.9504352,0.00104089,0.0001770619,0.0006896952,0.00138913,0.01631849,0.01468596],"genre_scores_gemma":[0.2041233,0.001218271,0.7489925,0.0008575704,0.0001770505,0.001598445,0.004912823,0.002057487,0.03606263],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02352905,"threshold_uncertainty_score":0.07871252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01410737281339269,"score_gpt":0.2854751908794575,"score_spread":0.2713678180660648,"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."}}