{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006036468,0.0002200419,0.0004406208,0.001596308,0.002574874,0.003576565,0.001487981,0.001619075,0.007215452],"category_scores_gemma":[0.06330209,0.0003448808,0.0003883977,0.001494027,0.001749798,0.003795175,0.003286157,0.0009671265,0.001408826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001746823,"about_ca_system_score_gemma":0.003435414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006329399,"about_ca_topic_score_gemma":0.004511349,"domain_scores_codex":[0.9883131,0.003149111,0.001018783,0.0007868671,0.005155036,0.001577097],"domain_scores_gemma":[0.8990557,0.06825447,0.007380918,0.009161599,0.01059972,0.005547752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009441669,0.001601891,0.1054276,0.001457783,0.0001108983,0.008763999,0.1112222,0.02711997,0.01972969,0.1522039,0.01050266,0.5609152],"study_design_scores_gemma":[0.0003914775,0.002214422,0.1723429,0.001256975,0.0002259873,0.0182658,0.1710887,0.1188794,0.02279828,0.2726424,0.2195625,0.0003312636],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8254,0.0005187778,0.07374168,0.002858927,0.00004673344,0.0005977278,0.0002287939,0.0004731495,0.09613427],"genre_scores_gemma":[0.9784954,0.0001264493,0.01797966,0.00007701428,0.00002101744,0.0001596264,0.0002144355,0.00005055491,0.002875939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007215452,"threshold_uncertainty_score":0.03192431,"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."}}