{"id":"W1969652004","doi":"10.1002/cav.129","title":"A Wizard‐of‐Oz platform for embodied conversational agents","year":2006,"lang":"en","type":"article","venue":"Computer Animation and Virtual Worlds","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Human–computer interaction; Flexibility (engineering); Embodied agent; Embodied cognition; Protocol (science); Architecture; Rapid prototyping; Wizard; Software engineering; Artificial intelligence; 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":[],"consensus_categories":[],"category_scores_codex":[0.001234859,0.0008387631,0.0004774678,0.0004556109,0.0007680836,0.002069886,0.001906798,0.0009844309,0.01653636],"category_scores_gemma":[0.003101237,0.0006094513,0.0005383295,0.0002005507,0.001051368,0.002074206,0.00295499,0.001107641,0.002072397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004838452,"about_ca_system_score_gemma":0.0007670596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001453171,"about_ca_topic_score_gemma":0.001115921,"domain_scores_codex":[0.9993159,0.0002321206,0.0000515253,0.00009304153,0.0002151177,0.00009226958],"domain_scores_gemma":[0.9988838,0.0005752387,0.00006868089,0.0001858842,0.00008623908,0.0002002245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002853222,0.0007728672,0.001771501,0.001359642,0.0001306891,0.002822131,0.008496758,0.03944363,0.2450667,0.3773765,0.02229501,0.2976114],"study_design_scores_gemma":[0.001376428,0.00152501,0.002373654,0.0003476376,0.0001625125,0.001538393,0.001635183,0.2561599,0.09527113,0.09670643,0.5425778,0.0003258852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06796215,0.0002720937,0.8938375,0.0005032414,0.0003492527,0.0006325273,0.0003258042,0.01324457,0.02287276],"genre_scores_gemma":[0.3916827,0.0003235937,0.5905464,0.0001058724,0.00004593288,0.0012493,0.0004143408,0.00117148,0.01446042],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01653636,"threshold_uncertainty_score":0.05531961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04843910749030263,"score_gpt":0.3447264693186308,"score_spread":0.2962873618283282,"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."}}