{"id":"W4385339581","doi":"10.1007/978-3-031-37745-7_7","title":"An Infrastructure for Studying the Role of Sentiment in Human-Robot Interaction","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Robot; Software deployment; Computer science; Human–computer interaction; Artificial intelligence; Social robot; Robotics; Computer security; Mobile robot; Robot control; Software engineering","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":[0.0005042482,0.0002246477,0.0003043961,0.0004888422,0.0001647086,0.00009070988,0.0006739551,0.0002186785,0.0001907524],"category_scores_gemma":[0.00003124845,0.0001808165,0.0001015478,0.0002459827,0.0002410343,0.000130879,0.0001432814,0.0006295315,0.00001718718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001843448,"about_ca_system_score_gemma":0.00006560503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001467165,"about_ca_topic_score_gemma":0.0004678507,"domain_scores_codex":[0.9983705,0.00004890316,0.0004171271,0.0005777146,0.0003031073,0.0002825908],"domain_scores_gemma":[0.9986189,0.0004750456,0.0002828777,0.0004659979,0.0001168812,0.0000402957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001063694,0.0001436881,0.001828275,0.00003381737,0.00008057163,0.00001430108,0.0307235,0.08563053,0.004147057,0.03306904,0.0001287368,0.8440941],"study_design_scores_gemma":[0.002788119,0.001951159,0.04481445,0.001486082,0.0001198879,0.00007354986,0.0007530757,0.1351443,0.006667968,0.7902703,0.01397037,0.001960773],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01602172,0.0002102057,0.9526554,0.0007338713,0.01463747,0.00218012,0.00002504026,0.0001643333,0.01337184],"genre_scores_gemma":[0.9948511,0.000004461533,0.003338181,0.0004540306,0.0006436412,0.00004169337,0.00001449526,0.00003924619,0.0006131436],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9788294,"threshold_uncertainty_score":0.7373484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0477170249584021,"score_gpt":0.3785912516065526,"score_spread":0.3308742266481505,"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."}}