{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008244122,0.001025431,0.000602175,0.0005372308,0.0004723569,0.001288726,0.001752245,0.001289104,0.01023317],"category_scores_gemma":[0.003804133,0.0005297788,0.0006348886,0.0004069607,0.0011532,0.00238664,0.00162467,0.002046681,0.002723078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000869251,"about_ca_system_score_gemma":0.0009759677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001959763,"about_ca_topic_score_gemma":0.003193967,"domain_scores_codex":[0.999442,0.0001055585,0.00002907854,0.000158562,0.0001823017,0.0000824812],"domain_scores_gemma":[0.9988844,0.0004084445,0.0001164245,0.0003298235,0.0002141396,0.00004682194],"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":[0.0002318209,0.00006897352,0.001298733,0.0002710274,0.0001581834,0.0001721373,0.0000832016,0.6151858,0.007787697,0.1829601,0.01646954,0.1753128],"study_design_scores_gemma":[0.00001504603,0.00007870621,0.0001659874,0.00004694996,0.00002800181,0.0001295276,0.00001499389,0.8861593,0.006419912,0.08664441,0.02027715,0.00002007691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03015042,0.001699979,0.9310432,0.0009619932,0.0004409046,0.0001182083,0.0006363125,0.003244403,0.03170459],"genre_scores_gemma":[0.7233667,0.002538633,0.2110212,0.00148533,0.0002568437,0.0003360715,0.002068616,0.000716913,0.05820968],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01023317,"threshold_uncertainty_score":0.03423333,"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."}}