{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00004281414,0.00002405857,0.00003294116,0.00001993704,0.0000938924,0.000006982119,0.00006416533,0.000008554829,0.4702841],"category_scores_gemma":[0.000003996461,0.00002481764,0.00002380245,0.00005247716,0.00001048399,0.00001309196,0.00002718134,0.00009394017,0.002148001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002004918,"about_ca_system_score_gemma":0.000009008531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002436663,"about_ca_topic_score_gemma":0.00001913663,"domain_scores_codex":[0.9997052,0.00004192819,0.00004778767,0.0000738311,0.00005941664,0.00007186906],"domain_scores_gemma":[0.9998597,0.00002176419,0.00001488286,0.00007352677,0.00000920159,0.00002093523],"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":[0.00002981453,0.00006862082,0.001452417,2.294935e-7,0.00001989589,0.00001071858,0.004019453,0.000004704675,0.0001118543,0.5317053,0.4541482,0.008428726],"study_design_scores_gemma":[0.0001864094,0.00004524518,0.009465263,1.60625e-7,0.000002204078,0.00001375405,0.01827701,0.00001571312,0.00001603169,0.0008454312,0.9710806,0.00005215449],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02449397,0.000008885325,0.0004080654,0.00179946,0.001895246,0.00003555137,0.000001796972,0.00006590526,0.9712911],"genre_scores_gemma":[0.814233,2.544085e-7,0.00003377295,0.002247716,0.00003869885,0.00002136538,0.000002204295,0.000002941207,0.18342],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.789739,"threshold_uncertainty_score":0.9986289,"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."}}