{"id":"W3177376760","doi":"10.1609/aaai.v35i17.17780","title":"Deeplite NeutrinoTM: A BlackBox Framework for Constrained Deep Learning Model Optimization","year":2021,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Deep learning; Artificial intelligence; Python (programming language); Software deployment; Benchmark (surveying); Pipeline (software); Machine learning; Leverage (statistics); Edge device; Software engineering; Cloud computing","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":[0.0002219498,0.0001564581,0.0001842591,0.00006175519,0.000283684,0.0003008556,0.0008622567,0.00007526737,0.00002119182],"category_scores_gemma":[0.0003640262,0.00014151,0.0001336536,0.0006940455,0.0001202801,0.0002424469,0.000230234,0.0002462126,0.00001382844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002821988,"about_ca_system_score_gemma":0.0001700647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000230246,"about_ca_topic_score_gemma":0.000001280146,"domain_scores_codex":[0.9986232,0.00001222059,0.0003909744,0.0004526983,0.0002904881,0.0002304173],"domain_scores_gemma":[0.9977658,0.0002782136,0.0002991345,0.0002292728,0.001356238,0.00007137488],"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":[0.00001077076,0.00006762285,0.000009731677,0.00001591616,0.000008266719,6.689049e-8,0.0004896672,0.2176185,0.003042713,0.7512594,0.000008720557,0.02746854],"study_design_scores_gemma":[0.00001384855,0.0000239587,0.000007562523,0.0000393029,0.000005802754,0.000001177943,0.0000926377,0.5267027,0.03512441,0.4378857,0.0000202177,0.00008267825],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003330227,0.00001536462,0.9891918,0.00389961,0.0001082463,0.0003226437,0.000005240196,0.00007511109,0.003051762],"genre_scores_gemma":[0.7321132,0.0000193581,0.2674291,0.0002360453,0.0000461249,0.00005755921,0.000002930419,0.000009513364,0.00008607742],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.728783,"threshold_uncertainty_score":0.5770611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06545282396602257,"score_gpt":0.3090240359437167,"score_spread":0.2435712119776942,"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."}}