{"id":"W2542633432","doi":"10.1109/iembs.1996.657014","title":"Image acquisition and reduction dedicated to a visual implant","year":2002,"lang":"en","type":"article","venue":"","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Reduction (mathematics); Computer vision; Implant; Radio frequency; Artificial intelligence; Computer hardware; Telecommunications; Medicine; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0000369227,0.0000707706,0.00005588585,0.00009300906,0.0000950477,0.00005509583,0.00006428339,0.00001818475,0.0001171448],"category_scores_gemma":[0.00005996667,0.00006010053,0.00001241367,0.0003037849,0.0000377586,0.0002771401,0.00003855468,0.00005531633,0.0001481259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009586816,"about_ca_system_score_gemma":0.00000164004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004650754,"about_ca_topic_score_gemma":1.769113e-7,"domain_scores_codex":[0.9993107,0.00001648575,0.00008484692,0.0002737883,0.0001319344,0.0001822305],"domain_scores_gemma":[0.999774,0.00002093971,0.00001344786,0.00007112193,0.000006417923,0.0001140801],"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":[0.000003775287,0.00001596826,0.000002253668,0.000002067128,1.144192e-7,0.00001900614,0.00005344564,0.000003749154,0.9970572,0.0001185841,0.0008692537,0.001854586],"study_design_scores_gemma":[0.00010227,0.0001337581,0.0002493767,0.00000463322,0.000001189627,0.0005084163,0.00001454019,0.01785528,0.9804741,0.00002943309,0.0005386324,0.0000884306],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965832,0.0000039674,0.0006519936,0.0009649494,0.0002303925,0.0001121414,0.000001622872,0.0001634274,0.001288294],"genre_scores_gemma":[0.9982241,0.00003301899,0.0001702774,0.001127072,0.00004539016,0.000006940365,2.015518e-7,0.00000701824,0.0003860205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01785153,"threshold_uncertainty_score":0.2450829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02659821466376189,"score_gpt":0.2704357561293123,"score_spread":0.2438375414655504,"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."}}