{"id":"W2894060764","doi":"10.1145/3258675","title":"Session details: Session 2D: Conversational Systems","year":2018,"lang":"en","type":"article","venue":"","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Session (web analytics); Computer science; Multimedia; World Wide Web","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002261298,0.001737873,0.002159601,0.0007561186,0.002962942,0.006372882,0.001347236,0.004157906,0.8176546],"category_scores_gemma":[0.003889308,0.0004080953,0.001671285,0.0008501667,0.0005201178,0.002695076,0.004203827,0.002991429,0.6252493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008844985,"about_ca_system_score_gemma":0.001656957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001322268,"about_ca_topic_score_gemma":0.002673293,"domain_scores_codex":[0.9989912,0.0001963195,0.00005255589,0.0002639668,0.0002745522,0.0002215152],"domain_scores_gemma":[0.9961294,0.0008470837,0.00006597734,0.0005522463,0.000918421,0.00148687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006071965,0.0001936122,0.0001648654,0.0004201892,0.00002398614,0.00006296215,0.0001105822,0.00009325235,0.003679808,0.001024591,0.9489004,0.04471849],"study_design_scores_gemma":[0.000145452,0.000288261,0.001164209,0.0001296859,0.00002528409,0.0001013685,0.0001268138,0.0004652022,0.001680708,0.001582339,0.9942647,0.00002603979],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006696442,0.006036276,0.02092874,0.01383546,0.05915667,0.002713372,0.02947423,0.01089734,0.8502613],"genre_scores_gemma":[0.03163749,0.002981631,0.003897468,0.002294127,0.009803791,0.00120608,0.01582357,0.002591653,0.9297641],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1823454,"threshold_uncertainty_score":0.2600935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02398342886409338,"score_gpt":0.2578688380708324,"score_spread":0.233885409206739,"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."}}