{"id":"W2241831349","doi":"10.1109/gem.2015.7377228","title":"The virtual little albert experiment: Creating conditioned emotion response in virtual agents","year":2015,"lang":"en","type":"article","venue":"","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Virtual agent; Perception; Computer science; Cognitive psychology; Psychology; Human–computer interaction; Neuroscience","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":[0.0009535736,0.0004821256,0.0002631339,0.0001392662,0.0003735963,0.0007933722,0.0009500902,0.0007696016,0.0053286],"category_scores_gemma":[0.003225428,0.0002658252,0.0003651282,0.00005984123,0.001436729,0.001036463,0.001719299,0.0008017786,0.0005915575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002519337,"about_ca_system_score_gemma":0.0002544638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002513463,"about_ca_topic_score_gemma":0.0002485278,"domain_scores_codex":[0.9994072,0.0003021075,0.00003200322,0.0001061075,0.0000943527,0.00005823177],"domain_scores_gemma":[0.9984504,0.0008502157,0.0001071593,0.000330285,0.00008184379,0.0001801224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003990038,0.002996295,0.005935614,0.0008558213,0.000161125,0.0008890791,0.00706665,0.02955396,0.8256723,0.042877,0.003681459,0.07632066],"study_design_scores_gemma":[0.002012544,0.01611176,0.02739659,0.0002428998,0.0003549997,0.00158673,0.002682203,0.2423512,0.5621992,0.05194137,0.09263197,0.0004885652],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8134568,0.000110592,0.1671731,0.0004214595,0.0002719607,0.0004925817,0.0001849558,0.001625367,0.0162631],"genre_scores_gemma":[0.9234743,0.00005227974,0.06991141,0.0002267944,0.00002009345,0.0005645563,0.0001085548,0.0001650553,0.005476767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0053286,"threshold_uncertainty_score":0.0178259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07525473502340603,"score_gpt":0.4021433407181904,"score_spread":0.3268886056947844,"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."}}