{"id":"W4311719620","doi":"10.32985/ijeces.13.9.9","title":"ResViT","year":2022,"lang":"en","type":"article","venue":"International journal of electrical and computer engineering systems","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Extractor; Artificial intelligence; Feature extraction; Pattern recognition (psychology); Feature (linguistics); Machine learning","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":[0.0002622495,0.00007008986,0.0001328094,0.0001743067,0.00005083594,0.0001614506,0.0006302048,0.0000131641,0.000003874634],"category_scores_gemma":[0.00001461032,0.00006116858,0.00005818993,0.0001579342,0.000004733027,0.0001907436,0.0002116666,0.0001797014,7.614974e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006415229,"about_ca_system_score_gemma":0.00002721044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006725738,"about_ca_topic_score_gemma":3.342715e-8,"domain_scores_codex":[0.9990872,0.00005368618,0.0002548128,0.0001035415,0.0003906852,0.0001100321],"domain_scores_gemma":[0.9995145,0.00009445356,0.0001199519,0.00007027564,0.0001407145,0.00006015337],"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":[0.00002098772,0.00007815882,0.000202134,0.000004454415,0.0002305081,0.0002631265,0.000163651,0.9050333,0.001161552,0.04217131,0.005423949,0.04524689],"study_design_scores_gemma":[0.0002099511,0.0001856934,0.0004138363,0.000009722856,0.000003149733,0.0008506034,0.000002433856,0.9570779,0.00007633811,0.00009186198,0.0410052,0.00007327706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004182749,0.0009268008,0.9913074,0.0004396371,0.003055145,0.00003002892,8.767486e-7,0.00001874602,0.00003858428],"genre_scores_gemma":[0.9872448,0.00002185716,0.01170319,0.0001008245,0.0008728607,0.00000304083,3.468885e-7,0.000004638055,0.00004840965],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9830621,"threshold_uncertainty_score":0.2494382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005166113242905878,"score_gpt":0.1874651390925524,"score_spread":0.1822990258496465,"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."}}