{"id":"W2955337149","doi":"","title":"REINVENTING COLLABORATION WITH AUTONOMOUS TECHNOLOGY-BASED AGENTS","year":2019,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Collaboration in agile enterprises","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Transparency (behavior); Autonomous agent; Position paper; Set (abstract data type); Prioritization; Computer science; Knowledge management; Unintended consequences; Artificial intelligence; Sociology; Psychology; Management science; Epistemology; Engineering; 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":[0.001061572,0.00009405975,0.0001846671,0.000492678,0.0001753369,0.0007138324,0.0002511956,0.00009148904,0.000009592797],"category_scores_gemma":[0.000562704,0.00006522541,0.00008228703,0.001131069,0.000008102093,0.003506557,0.00002937961,0.0001064989,0.00009927523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004561426,"about_ca_system_score_gemma":0.0001524971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007735559,"about_ca_topic_score_gemma":0.000006145748,"domain_scores_codex":[0.9985252,0.00001497759,0.0007110168,0.00005261833,0.000567552,0.0001286109],"domain_scores_gemma":[0.9929227,0.00005813985,0.004198154,0.0001516508,0.002662378,0.000006948623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000303009,0.00007681385,0.618149,0.000704127,0.0002814187,4.88929e-7,0.0004647151,0.274051,0.0002680654,0.04360024,0.06114181,0.0009593791],"study_design_scores_gemma":[0.002817165,0.00005179759,0.005402513,0.000326676,0.00009835172,0.00000427663,0.002469926,0.0464965,0.0002149451,0.0001894673,0.9417498,0.000178622],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8995218,0.0000817188,0.02154136,0.01399649,0.01593184,0.004994042,0.00005365685,0.0002992229,0.04357992],"genre_scores_gemma":[0.9981195,4.812703e-7,0.0001587939,0.0005645624,0.0003373144,0.00002732935,0.00001530094,0.000009437862,0.0007672315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.880608,"threshold_uncertainty_score":0.6883503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006243830035372352,"score_gpt":0.2088218071811871,"score_spread":0.2025779771458148,"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."}}