{"id":"W2607635013","doi":"10.1016/j.cub.2017.03.068","title":"Feedback Synthesizes Neural Codes for Motion","year":2017,"lang":"en","type":"article","venue":"Current Biology","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":73,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Biology; Motion (physics); Computational biology; Neuroscience; Artificial intelligence; Computer science","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":[0.00006832159,0.00006503498,0.00008710281,0.00001475983,0.0003518916,0.00007991002,0.0007474962,0.00003180777,0.000004866694],"category_scores_gemma":[0.00004117459,0.00005099463,0.00004893714,0.0000211414,0.00006466554,0.0001274728,0.0001438265,0.00004873944,0.00002042577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005536217,"about_ca_system_score_gemma":0.000005485439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003152924,"about_ca_topic_score_gemma":0.000003932716,"domain_scores_codex":[0.9994782,0.00001757511,0.00009467197,0.0002251034,0.00002169466,0.0001627224],"domain_scores_gemma":[0.9993032,0.00006433763,0.0001018843,0.0004600378,0.00003526889,0.00003533599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002512971,0.00003156772,0.002846748,0.000007391019,0.000003502513,8.207453e-8,0.0000116991,0.00001244545,0.001379701,0.1744739,0.002806777,0.8184237],"study_design_scores_gemma":[0.0008617926,0.0002359848,0.08945156,0.00003653282,0.00002259037,0.00001309236,0.000005917032,0.3617278,0.005741123,0.1741904,0.3671149,0.0005982454],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08491012,0.0007388305,0.9038522,0.006926735,0.002715779,0.0003769464,0.00002336539,0.000126896,0.00032914],"genre_scores_gemma":[0.9976391,0.00009607981,0.001822755,0.00003565776,0.0002790003,0.00006991102,0.000009005303,0.000002875073,0.00004566752],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9127289,"threshold_uncertainty_score":0.2706502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06823915092730222,"score_gpt":0.3485483188945463,"score_spread":0.2803091679672441,"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."}}