{"id":"W3128159515","doi":"","title":"Session details: Collaborating and competing with robots","year":2019,"lang":"en","type":"article","venue":"Human-Robot Interaction","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Session (web analytics); Computer science; Robot; Human–computer interaction; Artificial intelligence; Multimedia; World Wide Web","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":[0.000106485,0.0001636769,0.0001707732,0.00008413046,0.0001226703,0.000128303,0.00007196141,0.00005856929,0.0002886106],"category_scores_gemma":[0.00000887152,0.0001417351,0.00002052382,0.00012618,0.00001560375,0.0003903547,0.00002661249,0.0002271224,0.0001351504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006440951,"about_ca_system_score_gemma":0.00000679014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003303649,"about_ca_topic_score_gemma":0.0001250215,"domain_scores_codex":[0.9992106,0.00002674056,0.0002135529,0.0002195589,0.0001373433,0.0001922118],"domain_scores_gemma":[0.9995955,0.00004404287,0.00006203889,0.0001759634,0.0000690786,0.00005342842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003131757,0.00003223281,0.009918516,0.0002414989,0.00006032902,0.00001227266,0.001314232,0.8167588,0.1547967,0.0007713076,0.0002985522,0.01576418],"study_design_scores_gemma":[0.001313045,0.0006577088,0.01898347,0.002243797,0.0000795037,0.0002647755,0.00584834,0.8565217,0.1001257,0.0001214738,0.01228991,0.001550543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9583932,0.000179952,0.03223344,0.00003138101,0.0005777612,0.000236158,0.000001175679,0.0002518107,0.008095148],"genre_scores_gemma":[0.9969752,0.00002806713,0.002450541,0.00003099263,0.0001037204,0.00001154791,0.00001426275,0.00003677911,0.000348855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05467103,"threshold_uncertainty_score":0.5779788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0199696127534675,"score_gpt":0.2642659941800912,"score_spread":0.2442963814266237,"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."}}