{"id":"W4294988881","doi":"","title":"Towards Socially Intelligent Robots In Real World Applications: Challenges and Intricacies","year":2022,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Robot; Human–computer interaction; Computer science; Engineering; 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":[0.007141812,0.0008398216,0.001339479,0.0008621246,0.002105227,0.009068987,0.002640208,0.00518704,0.01154682],"category_scores_gemma":[0.009716704,0.000641831,0.0007194119,0.001535249,0.005921544,0.01365323,0.00690897,0.004577072,0.006509559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001425641,"about_ca_system_score_gemma":0.00209598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001739764,"about_ca_topic_score_gemma":0.002744735,"domain_scores_codex":[0.9956926,0.002072159,0.0001318706,0.0005984812,0.001167531,0.0003374499],"domain_scores_gemma":[0.991376,0.004038873,0.0003945363,0.001047446,0.002092189,0.001051124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001335227,0.0002369725,0.002052905,0.001840822,0.00009934394,0.0003601973,0.004104636,0.01537374,0.007552379,0.6196815,0.05357031,0.2949936],"study_design_scores_gemma":[0.00002468792,0.0001306362,0.001028319,0.0003593683,0.00003401404,0.000572286,0.007983137,0.04607062,0.001950793,0.6825101,0.2592765,0.00005940906],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0532936,0.04946714,0.6159902,0.1433469,0.002770259,0.0003565939,0.0003008612,0.001109618,0.1333649],"genre_scores_gemma":[0.5618727,0.04793144,0.3241675,0.007896245,0.003460148,0.0005602884,0.0008133914,0.0006389014,0.05265949],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01154682,"threshold_uncertainty_score":0.03862798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02698866670984479,"score_gpt":0.2464452713960101,"score_spread":0.2194566046861653,"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."}}