{"id":"W1513192856","doi":"","title":"Biologically Inspired Vision Chip with Three Dimensional Structure","year":2001,"lang":"en","type":"article","venue":"IEICE Transactions on Electronics","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Chip; Computer science; Computer graphics (images); Artificial intelligence; Computer vision; Telecommunications","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":[0.0001237359,0.0002860263,0.0002400066,0.0002105973,0.0002733125,0.0005986851,0.00127672,0.0009612386,0.002444726],"category_scores_gemma":[0.0003265419,0.0002881693,0.0002993437,0.0001426749,0.0004187019,0.0004497172,0.0006543557,0.0004271861,0.0009722993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007320209,"about_ca_system_score_gemma":0.0006482874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006343374,"about_ca_topic_score_gemma":0.001187355,"domain_scores_codex":[0.9998629,0.00001073553,0.000005191468,0.00002651809,0.00007811111,0.00001649475],"domain_scores_gemma":[0.9997372,0.00004149867,0.0000405734,0.0000619581,0.00007826913,0.0000405307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006803835,0.0001315926,0.0003439866,0.00012467,0.00004615315,0.0001848677,0.0000633492,0.01106541,0.9376794,0.01658589,0.003984822,0.02972185],"study_design_scores_gemma":[0.0001238222,0.0008621754,0.002896254,0.00003485609,0.0000709741,0.0007193729,0.00004302786,0.1962776,0.7510028,0.007358058,0.0404971,0.000113946],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3278866,0.00142825,0.6180893,0.002385161,0.001634911,0.0002248787,0.0004815228,0.00409849,0.04377095],"genre_scores_gemma":[0.7450613,0.0002688763,0.2375917,0.0007896459,0.00005500468,0.0002245797,0.0001930707,0.0000887559,0.01572714],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002444726,"threshold_uncertainty_score":0.008178413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01606125220458609,"score_gpt":0.240807409544282,"score_spread":0.2247461573396959,"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."}}