{"id":"W2138275955","doi":"10.1109/hicss.1990.205243","title":"Work group knowledge requirements for desktop computing","year":2002,"lang":"en","type":"article","venue":"","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Group (periodic table); Work (physics); Human–computer interaction; 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":[0.000303123,0.0001798569,0.0002212757,0.0002107717,0.0003448125,0.0003269279,0.0002472311,0.00006079149,0.0004397405],"category_scores_gemma":[0.00007362768,0.0001573719,0.0001338629,0.0008619539,0.00002767274,0.0006746452,0.0001196741,0.00006680589,0.000528447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001824942,"about_ca_system_score_gemma":0.000002607822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000584558,"about_ca_topic_score_gemma":0.00001975758,"domain_scores_codex":[0.9988502,0.000003497615,0.0003065811,0.0003405534,0.0001462081,0.0003529074],"domain_scores_gemma":[0.9993516,0.00003805155,0.0001417929,0.0001958085,0.0002605016,0.00001225697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006020998,0.001069599,0.02942359,0.001353281,0.000288319,0.00000494421,0.0002226888,0.002175577,0.0002534801,0.04554841,0.09681093,0.822789],"study_design_scores_gemma":[0.001178814,0.000007037348,0.000920154,0.0001656557,0.0002259868,4.649941e-7,0.000138029,0.87806,0.00001798639,0.004298323,0.1144304,0.00055714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09978735,0.001754083,0.7673473,0.002299135,0.001101439,0.0005669165,0.000001355178,0.001131517,0.1260109],"genre_scores_gemma":[0.9925207,0.000008095925,0.002423338,0.001131506,0.00144575,0.00001798478,0.00002058074,0.00003249402,0.002399574],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8927333,"threshold_uncertainty_score":0.6792294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08171893546987531,"score_gpt":0.2660599892218435,"score_spread":0.1843410537519682,"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."}}