{"id":"W2002327957","doi":"10.1145/2658861.2658893","title":"More human than human?","year":2014,"lang":"en","type":"article","venue":"","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Android (operating system); Computer science; Humanoid robot; Human–computer interaction; Robot; Artificial intelligence","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":[0.001590571,0.0003310756,0.0003010138,0.0004960069,0.001752219,0.003681292,0.0005034399,0.00190586,0.01814836],"category_scores_gemma":[0.007350759,0.0001895391,0.0002565895,0.0002107928,0.00892423,0.006301456,0.001586062,0.001518505,0.002388502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001040069,"about_ca_system_score_gemma":0.0004743939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002610157,"about_ca_topic_score_gemma":0.001887742,"domain_scores_codex":[0.9985216,0.0006666005,0.00003205828,0.000373429,0.0002651002,0.0001412504],"domain_scores_gemma":[0.9979618,0.0009579156,0.0002307271,0.0003288191,0.0002709951,0.0002497998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002962602,0.00008403713,0.01460296,0.0003447359,0.00008405581,0.0007152003,0.03892521,0.0003544553,0.002808861,0.7266355,0.05959805,0.1555508],"study_design_scores_gemma":[0.00004408395,0.0001890941,0.01850704,0.0004912224,0.00006193335,0.002937006,0.03820991,0.001418242,0.001814417,0.4891545,0.4470874,0.00008506722],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1826586,0.01395484,0.02625669,0.1974526,0.003277582,0.00006574456,0.0003321804,0.0002371942,0.5757644],"genre_scores_gemma":[0.9606419,0.001893372,0.003028862,0.01172144,0.0003365039,0.00003142177,0.0001063748,0.00004649455,0.0221937],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01814836,"threshold_uncertainty_score":0.06071234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07839358266228927,"score_gpt":0.3406039649369234,"score_spread":0.2622103822746341,"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."}}