{"id":"W7133094736","doi":"","title":"Handling inductance in early power grid verification","year":2007,"lang":"","type":"dissertation","venue":"TSpace","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Graduate Education; University of Toronto","keywords":"Voltage drop; Grid; Inductance; Voltage; Power grid; Power network design; RLC circuit; Node (physics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00582354,0.001195977,0.00102661,0.001163854,0.0009441598,0.001866648,0.001949725,0.001396876,0.004025888],"category_scores_gemma":[0.02138203,0.0009477508,0.001448066,0.0007570349,0.003038536,0.005877069,0.002918679,0.002574839,0.0008639346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00199558,"about_ca_system_score_gemma":0.002464649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002285747,"about_ca_topic_score_gemma":0.002212024,"domain_scores_codex":[0.992743,0.002921711,0.0003270322,0.0007049305,0.002660418,0.0006430222],"domain_scores_gemma":[0.9808776,0.01348694,0.00104767,0.00316862,0.001272741,0.0001463018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000444129,0.0001227289,0.002487055,0.0008979308,0.00006399355,0.0009246336,0.0009335428,0.4268717,0.03639986,0.3910595,0.002926708,0.1368681],"study_design_scores_gemma":[0.0001070634,0.0001937377,0.0002410845,0.0001878885,0.00005050435,0.0003473949,0.0001013859,0.6496599,0.08132499,0.253375,0.01434238,0.0000686952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006767005,0.0001315456,0.9903494,0.0001426749,0.00002647678,0.00006169866,0.00003676119,0.0007464446,0.001738026],"genre_scores_gemma":[0.4928309,0.0004596539,0.5009742,0.0004401636,0.00005232024,0.0003595409,0.0002077748,0.0007249106,0.003950546],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00582354,"threshold_uncertainty_score":0.0307982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04475464543004688,"score_gpt":0.4045554362292987,"score_spread":0.3598007907992518,"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."}}