{"id":"W2933190547","doi":"10.2196/12629","title":"Anthropomorphism of Robots: Study of Appearance and Agency","year":2019,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Humanoid robot; Agency (philosophy); Psychology; Perception; Robot; Object (grammar); Attribution; Scale (ratio); Cognitive psychology; Social psychology; Human–computer interaction; Artificial intelligence; Computer science; Epistemology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00005350514,0.00009303636,0.0002417152,0.00009514955,0.00004410835,0.000005822951,0.0001038558,0.00006455381,0.004298105],"category_scores_gemma":[0.000005998043,0.00008497423,0.00004870676,0.00009598659,0.00008087546,0.00005682679,0.00002699686,0.0001096768,0.00008119608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001110637,"about_ca_system_score_gemma":0.000005333392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00057774,"about_ca_topic_score_gemma":0.00005524456,"domain_scores_codex":[0.999261,0.000063468,0.0002480463,0.0001777987,0.00013622,0.0001134265],"domain_scores_gemma":[0.9994736,0.00003200644,0.0001829337,0.0002303944,0.00004620916,0.00003480826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000618544,0.001577345,0.8928696,0.00004240822,0.0001456881,0.00000296603,0.09093872,0.000004226125,0.008535767,0.003553642,0.001211943,0.001055852],"study_design_scores_gemma":[0.0008345448,0.000681071,0.9834794,0.00002123592,0.00001049467,6.16509e-7,0.01405183,6.746641e-7,0.0002657272,0.0001065056,0.0004610385,0.00008689044],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878365,0.00007078122,0.000004198669,0.00001192834,0.0005867042,0.0004244871,0.000003904705,0.0000220643,0.01103944],"genre_scores_gemma":[0.9975969,0.000002185653,0.000002556577,0.00001614693,0.00002648632,0.00001051457,0.000001978991,0.00001235364,0.002330892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09060979,"threshold_uncertainty_score":0.9966121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05215594862738536,"score_gpt":0.4029181906865543,"score_spread":0.3507622420591689,"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."}}