{"id":"W4410099551","doi":"10.1113/jp288352","title":"Electrosensory midbrain neurons optimally decode ascending input during object localization","year":2025,"lang":"en","type":"article","venue":"The Journal of Physiology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Sensory system; Decoding methods; Neuroscience; Midbrain; Neural decoding; Computer science; Neuron; Neural coding; Psychology; Algorithm; Central nervous system","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000183691,0.0003355802,0.0001775092,0.00008554613,0.0001405196,0.0004435141,0.0002695483,0.0004150417,0.0009060411],"category_scores_gemma":[0.001192064,0.0002315007,0.0002429988,0.00006078539,0.0003415328,0.0005601157,0.0004365395,0.0005022362,0.0001817031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003685471,"about_ca_system_score_gemma":0.0004461784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009045096,"about_ca_topic_score_gemma":0.001776589,"domain_scores_codex":[0.9999218,0.00001174051,0.000006964382,0.00002060369,0.00001909991,0.00001986052],"domain_scores_gemma":[0.9998729,0.00004476729,0.0000279993,0.0000118641,0.00002300644,0.00001946051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001488062,0.00003919711,0.006470788,0.00009397689,0.00005131165,0.0001381725,0.000159781,0.07826481,0.8864727,0.003285941,0.0001729925,0.02470151],"study_design_scores_gemma":[0.00002291365,0.0002390477,0.03562435,0.00002576693,0.00004485927,0.0001609562,0.0001329292,0.6634756,0.2933929,0.006231174,0.0006229724,0.00002654723],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8941115,0.0001130582,0.1031439,0.0001293075,0.00001532953,0.00003252342,0.00007978552,0.000214389,0.002160342],"genre_scores_gemma":[0.9901283,0.00004088904,0.009044939,0.00001930775,0.00000183971,0.00001109798,0.00003195327,0.00001930628,0.0007021961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009060411,"threshold_uncertainty_score":0.003031015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441120848864233,"score_gpt":0.2629159819994696,"score_spread":0.2485047735108273,"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."}}