{"id":"W2900818629","doi":"10.1145/3243734.3278486","title":"Spartan Networks","year":2018,"lang":"en","type":"article","venue":"","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Preprocessor; Spartan; Robustness (evolution); Adversarial system; Deep learning; Artificial intelligence; Artificial neural network; Deep neural networks; Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002069599,0.00005770839,0.00006017982,0.00002755571,0.0001575796,0.00004459629,0.0005834831,0.00003839263,0.0002427891],"category_scores_gemma":[0.00005018896,0.00004869073,0.00001916538,0.0002183227,0.00005006558,0.0002447076,0.0003133734,0.0001259894,0.000358303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001344796,"about_ca_system_score_gemma":0.00001506423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000190917,"about_ca_topic_score_gemma":0.00001279187,"domain_scores_codex":[0.9993755,0.00004760042,0.00008758304,0.0001869738,0.0001006685,0.0002017028],"domain_scores_gemma":[0.9994596,0.00006219457,0.0000311085,0.0003543028,0.00004730043,0.00004551543],"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":[0.000003623293,0.000011345,0.007902124,0.000001336537,0.00001103892,0.000009339411,0.0004548,0.0115864,0.00003675848,0.9084324,0.01153988,0.0600109],"study_design_scores_gemma":[0.00009905897,0.00003518967,0.002583974,0.000002794752,9.89065e-7,0.00000303671,0.00001001763,0.9749081,0.00005147136,0.002119757,0.02009821,0.0000874117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001046648,0.00000622844,0.8770824,0.000430456,0.0007237944,0.00003177286,1.206265e-8,0.0002628563,0.1204158],"genre_scores_gemma":[0.8458886,6.752124e-7,0.1505742,0.0007659632,0.0006531535,0.000001136893,1.81107e-7,0.00000430473,0.002111902],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9633217,"threshold_uncertainty_score":0.460538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009361430731714776,"score_gpt":0.2515046984385463,"score_spread":0.2421432677068316,"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."}}