{"id":"W3122062209","doi":"10.2139/ssrn.3504587","title":"Collaborating with Technology-Based Autonomous Agents: Issues and Research Opportunities","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"AI in Service Interactions","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Business; Knowledge management; Engineering ethics; Data science; Computer science; Management science; Engineering management; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01272261,0.0003916589,0.0008569113,0.001524268,0.003147637,0.0147437,0.00321566,0.006675543,0.008476342],"category_scores_gemma":[0.03085686,0.0003992548,0.0005259687,0.00385158,0.007462144,0.02466213,0.002972768,0.002499326,0.001607976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002680142,"about_ca_system_score_gemma":0.004734935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005109464,"about_ca_topic_score_gemma":0.003612521,"domain_scores_codex":[0.9913867,0.005441847,0.0002595701,0.001013337,0.001243366,0.0006551837],"domain_scores_gemma":[0.9259142,0.06125871,0.002452597,0.002918958,0.005127682,0.00232778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000185608,0.0006798696,0.01600815,0.001179994,0.0001103335,0.0005695668,0.01574445,0.004425578,0.0007282089,0.7428723,0.01058466,0.2069113],"study_design_scores_gemma":[0.00007493256,0.000334609,0.01058489,0.001227995,0.00007366026,0.001144977,0.07623307,0.02537621,0.0009985394,0.7657156,0.1181317,0.0001037775],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2228397,0.1925097,0.08957853,0.2153702,0.001720821,0.0001635458,0.0002032914,0.0002005933,0.2774137],"genre_scores_gemma":[0.9177504,0.04620854,0.02444361,0.003201647,0.001233607,0.0001665701,0.0001206807,0.0000448334,0.006830086],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0147437,"threshold_uncertainty_score":0.06728441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04434203684853313,"score_gpt":0.338212677431391,"score_spread":0.2938706405828579,"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."}}