{"id":"W1966316775","doi":"10.1177/154193120304700367","title":"Ecological Interface Design for Network Management","year":2003,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Interface (matter); Fault management; Computer science; Abstraction; Hierarchy; Network interface; Network management; Fault (geology); Network monitoring; Medical diagnosis; User interface; Distributed computing; Computer network; Engineering; Operating system; Medicine; Electrical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003554979,0.0007673308,0.0002544488,0.000694203,0.0006428488,0.002027815,0.001076587,0.0007448672,0.006984214],"category_scores_gemma":[0.01202061,0.0003625617,0.0003163627,0.0004738053,0.001216228,0.00222973,0.001879453,0.0006554427,0.0006413287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000778146,"about_ca_system_score_gemma":0.0007810352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008249981,"about_ca_topic_score_gemma":0.0008297691,"domain_scores_codex":[0.9965189,0.001955587,0.0002209697,0.0003532881,0.0007900132,0.0001612784],"domain_scores_gemma":[0.9949955,0.002941259,0.0004424182,0.0008063372,0.0005989572,0.0002154608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001694243,0.001804188,0.01081467,0.001717627,0.00007544485,0.0004820922,0.01016781,0.03520475,0.07924561,0.2106928,0.007174264,0.6409264],"study_design_scores_gemma":[0.001397058,0.006701207,0.01600701,0.0006772673,0.0003303962,0.002070766,0.005775471,0.354824,0.06712355,0.2249122,0.3198627,0.0003184346],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1386728,0.0004124209,0.8231822,0.0008819733,0.0001681791,0.001415013,0.0001638142,0.00170137,0.03340226],"genre_scores_gemma":[0.5260743,0.0002557186,0.4666901,0.000310175,0.00004352865,0.001867639,0.0001559655,0.0001576693,0.004444959],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006984214,"threshold_uncertainty_score":0.02336448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02105672508363604,"score_gpt":0.2160940657771787,"score_spread":0.1950373406935427,"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."}}