{"id":"W3195488024","doi":"10.1007/s00146-021-01213-0","title":"Socially robotic: making useless machines","year":2021,"lang":"en","type":"article","venue":"AI & Society","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Everyday life; Robot; Performing arts; Control (management); Human–robot interaction; Common ground; Robotics; Sociology; Social robot; Computer science; Social relation; Psychology; Artificial intelligence; Human–computer interaction; Cognitive science; Social psychology; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001844603,0.0001261504,0.0001531218,0.00002434572,0.0002958936,0.0001675368,0.0005105263,0.0001435834,0.00006306046],"category_scores_gemma":[0.00004571515,0.0001304241,0.0001516817,0.0005720487,0.00008236541,0.0005340225,0.0003799175,0.0004161518,0.00008871281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001279783,"about_ca_system_score_gemma":0.0001763098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008997782,"about_ca_topic_score_gemma":0.00003598959,"domain_scores_codex":[0.9989348,0.00005279512,0.0001911102,0.0003619556,0.000194349,0.0002649912],"domain_scores_gemma":[0.9990731,0.00005780902,0.000103517,0.0003946293,0.0003543163,0.00001657546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001663869,0.000127867,0.002950228,0.00002810487,0.0001800987,0.00005668386,0.006370386,0.0001038092,0.02286997,0.892402,0.03910594,0.03580324],"study_design_scores_gemma":[0.002594677,0.0002560784,0.07045295,0.0003815334,0.0001288918,0.0007085172,0.004492145,0.3924664,0.1030966,0.3280457,0.09445549,0.002920985],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03336539,0.0001910089,0.9448642,0.01704973,0.001220457,0.00008666362,0.000001249769,0.0005645762,0.002656794],"genre_scores_gemma":[0.8873899,0.00001381313,0.1044723,0.006747259,0.0001749402,0.00001131141,0.000005263984,0.0000147163,0.001170485],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8540245,"threshold_uncertainty_score":0.5318541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02330228336908833,"score_gpt":0.3140138628945284,"score_spread":0.29071157952544,"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."}}