{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009275963,0.0006101993,0.000739568,0.000990683,0.005440702,0.01043654,0.001749619,0.002120071,0.08181433],"category_scores_gemma":[0.01630092,0.0004418363,0.0009647305,0.001063141,0.003774294,0.006114642,0.01565026,0.005252766,0.02296356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003062925,"about_ca_system_score_gemma":0.006264111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00189029,"about_ca_topic_score_gemma":0.003068091,"domain_scores_codex":[0.9886476,0.004227705,0.0004508829,0.001372344,0.003688814,0.001612567],"domain_scores_gemma":[0.9895715,0.002454379,0.0005783345,0.002195821,0.002174828,0.003025186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002696746,0.0004087574,0.002571135,0.001722975,0.0000452256,0.0004969088,0.03861542,0.0004105026,0.003701163,0.2790526,0.2498831,0.4228225],"study_design_scores_gemma":[0.00001907256,0.0001531763,0.003347722,0.000627709,0.00001664395,0.0004454486,0.01210768,0.000187409,0.001083549,0.02188882,0.9600835,0.00003930683],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01759644,0.003413666,0.03168944,0.02285058,0.007202779,0.0007220606,0.0004583129,0.0006917425,0.915375],"genre_scores_gemma":[0.3288571,0.005174945,0.02813813,0.02336016,0.002532852,0.002206351,0.001191373,0.001199823,0.6073392],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08181433,"threshold_uncertainty_score":0.2736962,"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."}}