{"id":"W1862064790","doi":"10.1109/pes.2005.1489254","title":"Operation & monitoring of GIS","year":2005,"lang":"en","type":"article","venue":"IEEE Power Engineering Society General Meeting, 2005","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Computer science; Systems engineering; Geographic information system; Engineering; Remote sensing; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003300139,0.0003249485,0.000337214,0.00008644595,0.00006263699,0.00005116478,0.0002867415,0.0002624538,0.00004540326],"category_scores_gemma":[0.00003775379,0.0003456831,0.0002343386,0.00020096,0.00003150854,0.0002290433,0.00003982098,0.0003032498,0.00008635961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001966031,"about_ca_system_score_gemma":0.00001579204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003341196,"about_ca_topic_score_gemma":0.00001598459,"domain_scores_codex":[0.9984212,0.00001102008,0.0004843283,0.0002541455,0.0002769172,0.0005524026],"domain_scores_gemma":[0.9993187,0.00003330289,0.00006829388,0.0004289222,0.00005531828,0.00009550846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[9.698484e-7,0.00001801397,0.0006725102,0.00008482055,0.0001059128,4.619619e-7,0.0007197736,0.629011,0.3501105,0.00007793294,0.01853593,0.0006621489],"study_design_scores_gemma":[0.000563788,0.00002378463,0.001174503,0.0002906996,0.00004135363,0.00001935109,0.0001237593,0.09673682,0.4096668,0.000008076091,0.4903614,0.0009896648],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9398441,0.003434094,0.05122901,0.000100125,0.002425106,0.000187166,0.00001617695,0.00167813,0.001086102],"genre_scores_gemma":[0.894046,0.0003611777,0.1038316,0.00001364309,0.0008156256,0.00003791579,0.000006544606,0.00009130049,0.0007961747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5322742,"threshold_uncertainty_score":0.9998995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01250149760431066,"score_gpt":0.2290147396667547,"score_spread":0.216513242062444,"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."}}