{"id":"W2990203768","doi":"10.1109/isgteurope.2019.8905638","title":"Evolution of Distribution Underground Monitoring","year":2019,"lang":"en","type":"article","venue":"","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Lagging; Smart grid; Automation; Computer science; Renewable energy; Electric power system; Systems engineering; Telecommunications; Reliability engineering; Power (physics); Engineering; Electrical 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":[0.001103415,0.000413427,0.0002344231,0.001732446,0.0002829398,0.001360991,0.0008050044,0.0006318309,0.002234192],"category_scores_gemma":[0.002093962,0.0001725505,0.0001407008,0.001967483,0.0004929958,0.001972542,0.001185679,0.0007323697,0.0007637492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001398826,"about_ca_system_score_gemma":0.0006609087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003789714,"about_ca_topic_score_gemma":0.002916333,"domain_scores_codex":[0.9988586,0.0002095546,0.00005326289,0.0002875018,0.0005103436,0.00008075451],"domain_scores_gemma":[0.9979866,0.0002539817,0.0003132289,0.0001980841,0.001121352,0.0001267755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002141591,0.00008762393,0.04755186,0.0004543787,0.00004594159,0.0002871355,0.0004843612,0.01874882,0.01077063,0.04955001,0.02634305,0.8454621],"study_design_scores_gemma":[0.00003935699,0.0002579728,0.07464457,0.0006744115,0.00008851574,0.001600523,0.0008726174,0.1487114,0.02293756,0.02685125,0.7232125,0.0001092525],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.2945372,0.03623834,0.4156545,0.01964564,0.001086381,0.0003319609,0.005291168,0.004661064,0.2225538],"genre_scores_gemma":[0.9034768,0.01111563,0.05904055,0.0006837357,0.0006576441,0.00008249456,0.002141536,0.0002290513,0.02257246],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.003789714,"threshold_uncertainty_score":0.0101493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004585557268724187,"score_gpt":0.1896874208360586,"score_spread":0.1851018635673344,"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."}}