{"id":"W4232220094","doi":"10.2196/preprints.12629","title":"Anthropomorphism of Robots: Study of Appearance and Agency (Preprint)","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Humanoid robot; Agency (philosophy); Object (grammar); Psychology; Robot; Perception; Attribution; Scale (ratio); Cognitive psychology; Social psychology; Artificial intelligence; Computer science; Epistemology","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":[0.0002437963,0.000199313,0.000557099,0.0001285116,0.00004249528,0.00001093526,0.0002759768,0.0002634591,0.009328158],"category_scores_gemma":[0.00005046162,0.0001923338,0.000108005,0.0000873285,0.0002859673,0.00002791859,0.0004524559,0.0003561924,0.0001364192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001972951,"about_ca_system_score_gemma":0.00003474592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005027155,"about_ca_topic_score_gemma":0.0002353353,"domain_scores_codex":[0.9983454,0.0001834593,0.0006039277,0.0005188413,0.0001939502,0.0001544334],"domain_scores_gemma":[0.9984246,0.00005817163,0.0005100766,0.0007320666,0.0002199935,0.00005501324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.002316057,0.02530056,0.3111018,0.001562566,0.006154818,0.00009266074,0.4659635,0.0005522382,0.003138162,0.03232405,0.06512427,0.08636922],"study_design_scores_gemma":[0.003767266,0.002304924,0.9407417,0.0006355628,0.0002916992,0.00002215519,0.03827158,0.0001188679,0.001223214,0.009962977,0.001781132,0.000878953],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8914364,0.0004213953,0.001566491,0.0001040921,0.002836855,0.0008244204,0.000009578857,0.00005455501,0.1027462],"genre_scores_gemma":[0.9960639,0.00008431244,0.0002698226,0.00005232481,0.0001463851,0.00004923472,0.000002656112,0.00002252415,0.003308875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6296399,"threshold_uncertainty_score":0.9915774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06983385230917996,"score_gpt":0.4121838388847436,"score_spread":0.3423499865755637,"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."}}