{"id":"W2963711014","doi":"10.1145/3450975","title":"HyperNOMAD","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Mathematical Software","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis","funders":"","keywords":"MNIST database; Hyperparameter; Computer science; Artificial intelligence; Artificial neural network; Flexibility (engineering); Process (computing); Categorical variable; Machine learning; Deep learning; Field (mathematics); Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001210229,0.0001040468,0.0001265083,0.0000457118,0.000178205,0.000124351,0.0006007985,0.0000616476,0.0004841865],"category_scores_gemma":[0.0005109763,0.00009234143,0.00008150673,0.0003119214,0.00002482221,0.0002115301,0.00002097186,0.0002219195,0.001225172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002464117,"about_ca_system_score_gemma":0.000049371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001748061,"about_ca_topic_score_gemma":0.000001714373,"domain_scores_codex":[0.9990296,0.00006529711,0.000175518,0.0003199054,0.0002401279,0.0001694896],"domain_scores_gemma":[0.9980925,0.0004601519,0.00003193084,0.001252161,0.00006459231,0.00009869082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000238727,0.0003351394,0.00006101954,0.00004971745,0.00001964269,0.00002252454,0.0001868712,0.0001637511,0.0001697859,0.02303425,0.00007567666,0.9758793],"study_design_scores_gemma":[0.0005554213,0.0001130224,0.002771992,0.0001176328,0.00003814576,0.0002389278,0.00009083694,0.008027435,0.005167477,0.9563267,0.02607038,0.0004820832],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008281983,0.0000319721,0.9933044,0.004635307,0.00009872318,0.00005211566,0.00000665169,0.0004436113,0.0005990586],"genre_scores_gemma":[0.04776698,0.00001302212,0.949637,0.0004973435,0.00002041663,0.00002567649,0.00001070723,0.00001133547,0.002017506],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9753972,"threshold_uncertainty_score":0.9995525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02620826938640882,"score_gpt":0.269840259014115,"score_spread":0.2436319896277061,"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."}}