{"id":"W7018314500","doi":"","title":"Designing Efficient Neural Attention Systems Towards Achieving Human-level Sharp Vision","year":2019,"lang":"en","type":"article","venue":"NAIST Digital Library (Nara Institute of Science and Technology)","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Feature (linguistics); Deep learning; Key (lock)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001959907,0.0001989322,0.0002508453,0.0006267802,0.0004993678,0.0006444178,0.001745612,0.0001083593,0.000001615061],"category_scores_gemma":[0.00005315253,0.0001757755,0.00004258727,0.003287706,0.001629331,0.007781858,0.001232202,0.0002233857,0.0000301242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000389566,"about_ca_system_score_gemma":0.000140875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001789577,"about_ca_topic_score_gemma":8.700778e-8,"domain_scores_codex":[0.9979158,0.000007575174,0.0003885918,0.0007641513,0.000515474,0.0004083965],"domain_scores_gemma":[0.9988372,0.00002294843,0.0002319338,0.0006939493,0.000105377,0.0001086315],"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":[0.00001358009,0.0002729449,0.01754369,0.000154489,0.00001589592,0.00003275671,0.00007120022,0.005168608,0.1819687,0.5689319,0.0003205101,0.2255057],"study_design_scores_gemma":[0.00335985,0.002909792,0.0593233,0.002607916,0.00004738859,0.0009410246,0.0005654569,0.7419045,0.1048654,0.02022647,0.05976742,0.003481422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9456536,0.0004023823,0.04609808,0.001294476,0.0004811271,0.0005975353,0.00001787887,0.0006343913,0.004820567],"genre_scores_gemma":[0.9897046,0.00001441971,0.009978838,0.00004968314,0.00002428857,0.0000234973,0.00000888025,0.00001071959,0.000185062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7367359,"threshold_uncertainty_score":0.7167915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01726335383087533,"score_gpt":0.2479369915527936,"score_spread":0.2306736377219183,"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."}}