{"id":"W1546922341","doi":"10.1016/j.neulet.2015.09.014","title":"Parallel sparse and dense information coding streams in the electrosensory midbrain","year":2015,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Neural coding; Sensory system; Midbrain; Neuroscience; Coding (social sciences); Computer science; Sensory processing; Biology; Central nervous system; 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":[0.0002207023,0.0002083613,0.0004010951,0.0006270022,0.0003872645,0.001496656,0.0005056277,0.0004859718,0.00209609],"category_scores_gemma":[0.002423872,0.0004596929,0.0003230568,0.0003964191,0.0008043813,0.001300086,0.001204742,0.0007290238,0.0002869624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003439126,"about_ca_system_score_gemma":0.000479871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009454294,"about_ca_topic_score_gemma":0.001223122,"domain_scores_codex":[0.9998036,0.00002775829,0.00001135114,0.00003320839,0.0000751921,0.00004889858],"domain_scores_gemma":[0.998803,0.0006190563,0.0001155076,0.00007097813,0.0002407525,0.0001506386],"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":[0.001634047,0.0003105405,0.01601543,0.0002655262,0.0001133194,0.0005908387,0.00148598,0.023671,0.7733839,0.05841937,0.002086944,0.1220231],"study_design_scores_gemma":[0.0006596323,0.0008202693,0.2650741,0.0001419991,0.0001591591,0.001422595,0.001183192,0.3520284,0.151872,0.2222167,0.004165124,0.0002566906],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9514999,0.0003333321,0.04008731,0.0004561288,0.00005506448,0.00003845176,0.0003986747,0.0001594622,0.006971706],"genre_scores_gemma":[0.9855976,0.0001339529,0.01204602,0.00009433334,0.000049534,0.00003971599,0.0001914351,0.00004621622,0.001801302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00209609,"threshold_uncertainty_score":0.007012129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03057364029128978,"score_gpt":0.2415327836191811,"score_spread":0.2109591433278913,"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."}}