{"id":"W3042578773","doi":"10.1145/3405755.3406161","title":"Let's Go There","year":2020,"lang":"en","type":"article","venue":"","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Human–computer interaction; Identification (biology); Virtual reality; Teamwork; Feeling; Object (grammar); Augmented reality; Natural (archaeology); Tracking (education); Multimodal interaction; Virtual machine; Multimedia; Artificial intelligence; Psychology","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":[0.0006390866,0.0009587401,0.0004092582,0.0005506258,0.003320313,0.003951625,0.001048407,0.002185463,0.1666076],"category_scores_gemma":[0.002558234,0.0002805435,0.0007353871,0.000203473,0.001428328,0.005155801,0.004336714,0.003341438,0.06618787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007033572,"about_ca_system_score_gemma":0.0008641042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002719705,"about_ca_topic_score_gemma":0.007248685,"domain_scores_codex":[0.9995161,0.000109523,0.0000125185,0.00007522771,0.0001419939,0.000144573],"domain_scores_gemma":[0.9988206,0.0001366659,0.00003506764,0.00009610015,0.0002018581,0.0007096047],"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":[0.0001958671,0.0002180811,0.001542654,0.0002268736,0.000025305,0.0006813596,0.006099228,0.0001574239,0.004418851,0.01920257,0.8105004,0.1567314],"study_design_scores_gemma":[0.00001193746,0.00008513584,0.0005459167,0.00008392159,0.00001164816,0.0004087364,0.002963147,0.0001156187,0.000631317,0.002573516,0.9925371,0.00003190932],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03741493,0.003942237,0.04746176,0.1093015,0.03161934,0.0004423527,0.001796235,0.01274351,0.7552782],"genre_scores_gemma":[0.09456046,0.002309857,0.02352427,0.03560336,0.001711979,0.0002394266,0.0009783834,0.002362357,0.8387098],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1666076,"threshold_uncertainty_score":0.557358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02794950382532463,"score_gpt":0.2167516619491346,"score_spread":0.1888021581238099,"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."}}