{"id":"W1530315530","doi":"","title":"Motion Coding Strategies in the Retina","year":2013,"lang":"en","type":"article","venue":"Library and Archives Canada (Government of Canada)","topic":"Retinal Development and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Retina; Coding (social sciences); Computer science; Computer vision; Artificial intelligence; Communication; Biology; Psychology; Mathematics; Neuroscience","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001506412,0.000200002,0.0001744939,0.0005625434,0.0003216088,0.001426231,0.0003228484,0.0004987372,0.001754731],"category_scores_gemma":[0.0006680606,0.0001806603,0.0002525999,0.0002673801,0.0005197694,0.000963719,0.0006280057,0.0004424302,0.0003415112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009499082,"about_ca_system_score_gemma":0.0004298532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002129737,"about_ca_topic_score_gemma":0.001748043,"domain_scores_codex":[0.9998779,0.00001776141,0.000005938308,0.00003652296,0.00003554541,0.00002627997],"domain_scores_gemma":[0.9998633,0.000025157,0.00003398937,0.00001940916,0.00003746288,0.00002079386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001276444,0.00003537161,0.002478403,0.0001506792,0.00005470411,0.0004136658,0.0009567615,0.02229727,0.3181139,0.5412324,0.001629576,0.1125096],"study_design_scores_gemma":[0.0001046077,0.0004898679,0.03567061,0.0002203859,0.00009187446,0.001560814,0.0009505764,0.3120664,0.06613228,0.5551432,0.02734846,0.0002210389],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.743494,0.00617141,0.144003,0.001395331,0.0001235645,0.00006271801,0.0002120653,0.000451824,0.1040861],"genre_scores_gemma":[0.9706656,0.001045773,0.02066449,0.0001085565,0.00002493826,0.00002821914,0.00008270741,0.00003517475,0.007344419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002129737,"threshold_uncertainty_score":0.006892085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002524611965295226,"score_gpt":0.1413778495228535,"score_spread":0.1388532375575583,"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."}}