{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002640681,0.0006079676,0.0004152995,0.0005272474,0.0002701359,0.0007627037,0.000941281,0.0007279987,0.01080197],"category_scores_gemma":[0.0006653332,0.0003459862,0.0003248707,0.0002348728,0.0004664079,0.0005778882,0.0005175279,0.0005200992,0.002581622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002781479,"about_ca_system_score_gemma":0.0005975193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004377073,"about_ca_topic_score_gemma":0.0005828936,"domain_scores_codex":[0.9997371,0.00002666808,0.00001180957,0.00006940803,0.0001217861,0.0000332404],"domain_scores_gemma":[0.9996644,0.0001443068,0.00002689605,0.00006538968,0.00007247779,0.00002647356],"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":[0.0003364639,0.00005065825,0.0003529489,0.0002863989,0.0000225915,0.0002958527,0.0001340658,0.0008229106,0.7608014,0.002233865,0.002066885,0.2325961],"study_design_scores_gemma":[0.00009935493,0.001570744,0.00965743,0.00008835042,0.0001873079,0.01137321,0.0001236779,0.02396861,0.8170643,0.002212805,0.1335017,0.0001525631],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03208732,0.0009493481,0.9502386,0.0003477837,0.0003655917,0.0002633444,0.0001820029,0.002325527,0.01324041],"genre_scores_gemma":[0.2322832,0.001334515,0.739971,0.0006739121,0.0003846297,0.0003366758,0.0003659867,0.000737516,0.02391256],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01080197,"threshold_uncertainty_score":0.03613621,"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."}}