{"id":"W6990675774","doi":"","title":"Domain Adversarial Transfer Learning for Robust
\\nCyber-Physical Attack Detection in the Smart Grid","year":2020,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Key (lock); Tubulopathy; Feature (linguistics); Robustness (evolution); Transfer of learning","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":[0.002966622,0.000868938,0.001082659,0.0005125583,0.0004033068,0.0008368846,0.001423337,0.001039441,0.001387988],"category_scores_gemma":[0.008837893,0.0002901561,0.0006278872,0.0004121792,0.001681347,0.001754705,0.002318792,0.002507724,0.0004109741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001118807,"about_ca_system_score_gemma":0.0009773676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00190482,"about_ca_topic_score_gemma":0.0009637902,"domain_scores_codex":[0.998746,0.0004808642,0.00006119254,0.000313432,0.0002626964,0.0001358126],"domain_scores_gemma":[0.9961659,0.002425933,0.0003619741,0.0005374795,0.0003737483,0.0001350278],"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":[0.0001442294,0.00008120066,0.000941971,0.00004538926,0.00004236841,0.00008856675,0.00006260678,0.9294144,0.002903733,0.009905997,0.001002753,0.05536673],"study_design_scores_gemma":[0.0000019759,0.00001622871,0.00009010572,0.000002074334,0.000001875546,0.00000795336,0.000003915369,0.9963129,0.0007237046,0.002730217,0.0001056943,0.000003421826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04153249,0.0002212406,0.9555017,0.0003424232,0.0000487131,0.00005823199,0.00005811493,0.0006707676,0.00156633],"genre_scores_gemma":[0.9485223,0.0001603281,0.04826321,0.000244084,0.0000484735,0.00008057576,0.0001629607,0.00005954046,0.002458404],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002966622,"threshold_uncertainty_score":0.01568919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02082387198741063,"score_gpt":0.2513162339649053,"score_spread":0.2304923619774946,"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."}}