{"id":"W4385223049","doi":"10.1145/3583133.3590745","title":"Evolving Better Initializations For Neural Networks With Pruning","year":2023,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Pruning; Computer science; Artificial intelligence; Artificial neural network; Machine learning; Biology","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":[0.002045114,0.001400323,0.001180114,0.001339396,0.0007166069,0.0009455862,0.001772312,0.00187034,0.002871538],"category_scores_gemma":[0.01308324,0.0009784717,0.0007812492,0.0006917129,0.001092434,0.001778634,0.001435999,0.002042615,0.0007270441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001027824,"about_ca_system_score_gemma":0.0007862487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002248229,"about_ca_topic_score_gemma":0.004906551,"domain_scores_codex":[0.9993325,0.0002355925,0.00004890808,0.0001295185,0.0001691943,0.00008427068],"domain_scores_gemma":[0.9975448,0.001310027,0.0002580743,0.000416393,0.0003737963,0.00009688082],"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":[0.0001187521,0.0001364151,0.001826985,0.000096019,0.00008481069,0.0002426265,0.000215024,0.8884831,0.00947863,0.01835735,0.002286948,0.07867328],"study_design_scores_gemma":[0.00002167683,0.00004006419,0.0001725972,0.00002992191,0.00001629918,0.00004788612,0.00001642867,0.9898883,0.001986544,0.006734373,0.001037402,0.000008716188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07716471,0.0008481397,0.9144471,0.0004415619,0.0001651995,0.0001630144,0.0000730564,0.001382856,0.005314348],"genre_scores_gemma":[0.5219064,0.0004138042,0.4730298,0.000438549,0.00005664305,0.0004185448,0.0002469927,0.0004842207,0.003005156],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002871538,"threshold_uncertainty_score":0.01081568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02505819640811947,"score_gpt":0.2623873922226608,"score_spread":0.2373291958145414,"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."}}