{"id":"W3035272520","doi":"10.1109/cvpr42600.2020.00395","title":"Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data","year":2020,"lang":"en","type":"article","venue":"","topic":"Domain Adaptation and Few-Shot Learning","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; University of Toronto","funders":"","keywords":"Computer science; Transfer of learning; Artificial intelligence; Domain (mathematical analysis); Machine learning; Segmentation; Data modeling; Search engine; Deep learning; Object (grammar); Data mining; Information retrieval; Database","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007806016,0.0001247163,0.000157003,0.00004174699,0.0002013537,0.0002814295,0.00334641,0.00004230633,0.0001694094],"category_scores_gemma":[0.0001123426,0.0001154437,0.00003526946,0.0003673545,0.00001744541,0.001444053,0.001378545,0.0003014234,0.00008798201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007105083,"about_ca_system_score_gemma":0.00006341055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001367694,"about_ca_topic_score_gemma":0.00002806818,"domain_scores_codex":[0.9982131,0.0001013412,0.0002067864,0.0007783053,0.0003149434,0.0003855188],"domain_scores_gemma":[0.9983205,0.0001635158,0.00001673446,0.001235043,0.00005637823,0.0002078911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002992222,0.0004734722,0.004942261,0.0005740565,0.0002687325,0.00009773731,0.03272255,0.1259007,0.004558417,0.09433369,0.04482672,0.6910025],"study_design_scores_gemma":[0.0006331393,0.00009549315,0.0001876423,0.00000364786,0.000005515246,0.000003106609,0.0003398407,0.8476354,0.00009434912,0.0000113225,0.1508588,0.0001316948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002540242,0.00006566995,0.9870897,0.008643392,0.00009977,0.0002180005,0.00005712043,0.0003619931,0.000924124],"genre_scores_gemma":[0.8388576,0.00001802221,0.1547159,0.003833016,0.0002292331,0.000007818156,0.0009901312,0.00002945807,0.001318783],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8363174,"threshold_uncertainty_score":0.6218519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1509865724040353,"score_gpt":0.3210747540393935,"score_spread":0.1700881816353581,"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."}}