{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001605687,0.0001193559,0.000140232,0.0004974131,0.0003892381,0.0003458219,0.0007508321,0.0000740012,0.00002705769],"category_scores_gemma":[0.00004109216,0.00009870995,0.00002055583,0.0007721199,0.00009779774,0.0007020793,0.0001505427,0.001932828,0.00005093087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006091991,"about_ca_system_score_gemma":0.003726292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006423596,"about_ca_topic_score_gemma":0.0003463157,"domain_scores_codex":[0.997565,0.0001126865,0.0001908916,0.0002614009,0.0003910483,0.001478927],"domain_scores_gemma":[0.9988279,0.000100017,0.0001187652,0.0003740176,0.0005074097,0.00007194331],"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":[0.00004064897,0.0001048645,0.007860194,0.00002378949,0.0001554746,0.00005501998,0.0009354076,0.0003637894,0.001054549,0.9435312,0.0004995566,0.04537551],"study_design_scores_gemma":[0.003911762,0.008903552,0.001291649,0.0007185997,0.00005221401,0.006041457,0.09083895,0.09686841,0.005153432,0.6447999,0.1399702,0.001449808],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9096808,0.002735447,0.03921453,0.04430442,0.000264571,0.0003447832,0.000001651319,0.0002542828,0.003199545],"genre_scores_gemma":[0.9873343,0.0005219408,0.008843863,0.0002337841,0.00006807696,0.00001378807,7.919331e-7,0.0000173712,0.002966151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2987312,"threshold_uncertainty_score":0.8397282,"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."}}