{"id":"W4287844878","doi":"10.1109/cacre54574.2022.9834185","title":"Conference Speakers","year":2022,"lang":"en","type":"article","venue":"","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Toronto; University of Victoria; University of British Columbia","funders":"National Science Fund for Distinguished Young Scholars; National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada; Australian Academy of Technology and Engineering","keywords":"Computer science; Robot; Human–computer interaction; Work (physics); Field (mathematics); Human–robot interaction; Scale (ratio); Artificial intelligence; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002824145,0.001202246,0.0009263967,0.001526666,0.00182708,0.004934392,0.001781636,0.003637395,0.5232593],"category_scores_gemma":[0.01043464,0.000326974,0.0007091481,0.001099643,0.0004072942,0.002555629,0.003511433,0.003504096,0.2970722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001741479,"about_ca_system_score_gemma":0.002737976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001056298,"about_ca_topic_score_gemma":0.0026852,"domain_scores_codex":[0.998512,0.0002064087,0.0000932758,0.0002731289,0.0006076433,0.0003075251],"domain_scores_gemma":[0.9905854,0.0008025665,0.0002989999,0.0002346904,0.003900456,0.004177954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005406584,0.00001962283,0.00005015861,0.0001071351,0.00000220115,0.00004272459,0.0000240481,0.00002434743,0.0001651919,0.0005437363,0.9740515,0.02491528],"study_design_scores_gemma":[0.00001538922,0.00002013093,0.0003371181,0.0001269853,0.000002517822,0.00007923669,0.00009617137,0.0000376466,0.00007944356,0.0004552066,0.9987442,0.000005769489],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.001918008,0.02345891,0.002363351,0.1033459,0.5653005,0.0009337003,0.004769472,0.001074026,0.2968362],"genre_scores_gemma":[0.008560443,0.01002749,0.001337333,0.02511309,0.1220821,0.0009821671,0.003712092,0.0007140711,0.8274713],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5232593,"threshold_uncertainty_score":0.6800128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08904874890317478,"score_gpt":0.3974281149706897,"score_spread":0.308379366067515,"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."}}