{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002760294,0.00261535,0.001864184,0.002555522,0.0006841436,0.001739627,0.005931699,0.001935723,0.02190104],"category_scores_gemma":[0.01178588,0.001263609,0.001133122,0.004069278,0.0008199106,0.005806109,0.004745116,0.002424879,0.01481442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001741929,"about_ca_system_score_gemma":0.0018623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006803683,"about_ca_topic_score_gemma":0.009706547,"domain_scores_codex":[0.9981954,0.0002990591,0.000194477,0.0004535027,0.0007061371,0.0001515195],"domain_scores_gemma":[0.9964226,0.001301857,0.0001481868,0.001245136,0.0005706259,0.000311465],"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":[0.003030261,0.001041423,0.004668778,0.001600796,0.0007167434,0.0008833153,0.0003275525,0.04756162,0.02255192,0.01831493,0.4463617,0.452941],"study_design_scores_gemma":[0.0006356658,0.0002019195,0.001222147,0.00005413717,0.00005880885,0.0002696807,0.0001294608,0.900188,0.0247299,0.02588296,0.04652686,0.0001004445],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.02005654,0.001704217,0.5038739,0.0007348684,0.0002779699,0.0008697747,0.01812763,0.4449142,0.009440877],"genre_scores_gemma":[0.2911387,0.001096356,0.5735332,0.0009701298,0.0001810376,0.00158465,0.09494491,0.02207659,0.01447445],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02190104,"threshold_uncertainty_score":0.07326627,"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."}}