{"id":"W4281665732","doi":"10.3390/en15114164","title":"Situational Awareness for Smart Distribution Systems","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"State Grid Corporation of China","keywords":"Situation awareness; Situational ethics; Renewable energy; Internet of Things; Climate change; Risk analysis (engineering); Distribution (mathematics); Computer science; Environmental economics; Computer security; Business; Architectural engineering; Engineering; Political science; Electrical engineering; Economics; Ecology","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":[0.0004187029,0.0004111912,0.0003017742,0.0003590813,0.0005332322,0.001766239,0.0004471368,0.0007498154,0.004631511],"category_scores_gemma":[0.00127149,0.0001638827,0.0002289852,0.0004798499,0.0005040372,0.00292575,0.001607617,0.001378084,0.001066728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005148763,"about_ca_system_score_gemma":0.000662555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00165519,"about_ca_topic_score_gemma":0.001335158,"domain_scores_codex":[0.9996482,0.0001031624,0.00001703636,0.00006128713,0.0001273352,0.00004291011],"domain_scores_gemma":[0.9995903,0.0001303466,0.00004126826,0.00007117798,0.0001193541,0.00004748743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001339296,0.00009158868,0.001228626,0.0006336601,0.0000608383,0.0003630057,0.0005423084,0.07957904,0.007411322,0.4948989,0.04727403,0.3677827],"study_design_scores_gemma":[0.00002547418,0.0001763659,0.001247022,0.0004296526,0.00005474712,0.0006562889,0.0007767593,0.2319383,0.005613822,0.4048034,0.3542101,0.00006795699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02603848,0.02864654,0.7005458,0.01563793,0.002879328,0.0001875072,0.0004657062,0.002871311,0.2227273],"genre_scores_gemma":[0.8847133,0.0150517,0.07525434,0.001297708,0.0009126607,0.0001226916,0.0005140585,0.0001014717,0.02203202],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004631511,"threshold_uncertainty_score":0.01549399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01092817219652948,"score_gpt":0.2108620478736076,"score_spread":0.1999338756770781,"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."}}