{"id":"W2549770411","doi":"10.1152/jn.00145.2016","title":"Neuronal pattern separation of motion-relevant input in LIP activity","year":2016,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Ottawa","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Sensory system; Macaque; Neuroscience; Population; Premovement neuronal activity; Pattern recognition (psychology); Representation (politics); Electrophysiology; Psychology; Computer science; Artificial intelligence","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":[0.0001983273,0.0001468142,0.0001590646,0.0001622773,0.0001164146,0.0003226668,0.0002277309,0.0002860397,0.0012498],"category_scores_gemma":[0.001090075,0.0001746491,0.0002799712,0.0001203461,0.0003287889,0.0004956569,0.0003900428,0.0003079544,0.0002119617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003461195,"about_ca_system_score_gemma":0.0001605951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008473639,"about_ca_topic_score_gemma":0.0007197775,"domain_scores_codex":[0.9999306,0.0000126835,0.000004501736,0.00002347386,0.00001697761,0.00001170374],"domain_scores_gemma":[0.9998198,0.00006996968,0.0000536818,0.00001850108,0.00001723621,0.00002077496],"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":[0.0002357132,0.0000594653,0.01877878,0.0001018415,0.0000601557,0.0003184073,0.0002113236,0.0296645,0.9122907,0.006753208,0.0002453982,0.03128065],"study_design_scores_gemma":[0.00003518612,0.0002255502,0.1971395,0.00002926762,0.00006629273,0.0007449194,0.0001694757,0.6708903,0.1158208,0.01366457,0.001169805,0.00004429512],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9530489,0.0001936732,0.04410968,0.0001335966,0.00001113441,0.00001134097,0.00008091806,0.000121149,0.002289465],"genre_scores_gemma":[0.9966018,0.00004094388,0.002958624,0.00001427786,0.000003072604,0.000006249669,0.00003446401,0.000009742104,0.0003308729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0012498,"threshold_uncertainty_score":0.004180968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02909176451404521,"score_gpt":0.2795896169780063,"score_spread":0.2504978524639611,"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."}}