{"id":"W2798338993","doi":"10.1109/cvpr.2018.00743","title":"A Face-to-Face Neural Conversation Model","year":2018,"lang":"en","type":"article","venue":"","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Conversation; Gesture; Computer science; Dialog box; Avatar; Speech recognition; Face (sociological concept); Natural (archaeology); Artificial intelligence; Human–computer interaction; Natural language processing; Communication; Psychology; Linguistics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001011382,0.00007537221,0.00006047523,0.00006097668,0.0001034792,0.00008476684,0.0006083223,0.0000279156,0.00003417402],"category_scores_gemma":[0.00003744282,0.00006909064,0.00002161261,0.0002739639,0.00002789511,0.0002182594,0.0002058499,0.00007634531,0.001467086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002554383,"about_ca_system_score_gemma":0.00002542914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002218184,"about_ca_topic_score_gemma":0.00001468094,"domain_scores_codex":[0.9992775,0.00002293647,0.0001006959,0.0002896907,0.0001468033,0.0001624157],"domain_scores_gemma":[0.9992628,0.00003097977,0.00003107951,0.0005023707,0.00007431089,0.00009849375],"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":[0.00001344354,0.0001178478,0.003431831,0.000008895657,0.00001805302,0.000001026522,0.01696624,0.5158061,0.01911827,0.3254649,0.008118758,0.1109346],"study_design_scores_gemma":[0.00009996309,0.00003649629,0.007213589,0.000001120846,0.000001114119,0.000001465935,0.00001787338,0.9898797,0.0009862367,0.001203695,0.0004694414,0.00008926194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1263888,0.000001182393,0.8562654,0.01103285,0.00006511636,0.0001636008,6.743028e-7,0.0003386698,0.005743725],"genre_scores_gemma":[0.8251724,1.237938e-7,0.1724147,0.001532118,0.0000364945,0.00001955716,0.000001038261,0.000004889042,0.0008187433],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6987836,"threshold_uncertainty_score":0.9993104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02256961280811357,"score_gpt":0.2964864715879034,"score_spread":0.2739168587797898,"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."}}