{"id":"W4323537203","doi":"10.1145/3568294.3579965","title":"Inclusive HRI II","year":2023,"lang":"en","type":"article","venue":"","topic":"AI in Service Interactions","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Globe; Inclusion (mineral); Diversity (politics); Human–robot interaction; Field (mathematics); Action (physics); Robot; Computer science; Human–computer interaction; Psychology; Public relations; Engineering ethics; Sociology; Political science; Artificial intelligence; Engineering; Social psychology; Mathematics","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":[0.00006308763,0.00004175384,0.00003939179,0.00007974789,0.0001869168,0.00004498997,0.0005910828,0.00001894163,0.0001876722],"category_scores_gemma":[0.00001830524,0.00003650729,0.00002435803,0.0006118494,0.000007218137,0.0003940375,0.001228506,0.00005793377,0.004549985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002288565,"about_ca_system_score_gemma":0.00002428227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006591908,"about_ca_topic_score_gemma":0.00004999625,"domain_scores_codex":[0.9995211,0.00001029155,0.00007316014,0.0001466799,0.0001177682,0.0001309551],"domain_scores_gemma":[0.9994897,0.00007163396,0.00001714084,0.0003370898,0.00004732395,0.00003712316],"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":[9.435645e-7,0.00006748276,0.0001629445,0.000005125904,0.00001980848,0.00004804498,0.00631609,0.0002511979,0.001566273,0.5521798,0.4136285,0.02575376],"study_design_scores_gemma":[0.0002058647,0.0001062671,0.003814771,0.00001559188,0.000003220144,0.00003912477,0.0008528872,0.3179485,0.007548501,0.05134286,0.6178116,0.0003107738],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06158685,0.00001155608,0.3946849,0.09737774,0.002601402,0.0001692065,0.000001900432,0.003524852,0.4400416],"genre_scores_gemma":[0.9377593,0.000004404123,0.02408285,0.005273682,0.000115515,0.00001873613,0.000002340826,0.000007083609,0.03273609],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8761724,"threshold_uncertainty_score":0.9962251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01542679209564622,"score_gpt":0.3056340115289288,"score_spread":0.2902072194332826,"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."}}