{"id":"W2982355391","doi":"10.1126/sciadv.aax2211","title":"Descending pathways mediate adaptive optimized coding of natural stimuli in weakly electric fish","year":2019,"lang":"en","type":"article","venue":"Science Advances","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research","keywords":"Electric fish; Sensory system; Stimulus (psychology); Forebrain; Neuroscience; Neural coding; Coding (social sciences); Biology; Computer science; Psychology; Fish <Actinopterygii>; Cognitive psychology; 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":[0.0001319857,0.0002323168,0.0001369563,0.0001116554,0.0001535649,0.0002422136,0.0001776523,0.0001813278,0.0007249049],"category_scores_gemma":[0.0003403143,0.0001214746,0.0001256002,0.00005817254,0.0003130859,0.0002553982,0.000488679,0.0003070983,0.0001147288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002230209,"about_ca_system_score_gemma":0.000252789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008268097,"about_ca_topic_score_gemma":0.001458133,"domain_scores_codex":[0.999947,0.000007740298,0.000004552509,0.000013445,0.00001059119,0.00001668389],"domain_scores_gemma":[0.9998857,0.0000196457,0.00002784165,0.00001072272,0.00002523099,0.00003082407],"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":[0.00007750894,0.000008711801,0.001972948,0.00003748945,0.000007689377,0.00006097902,0.00006862859,0.0004630329,0.9913839,0.0004129023,0.00001809377,0.005488036],"study_design_scores_gemma":[0.00008223448,0.001297413,0.3101857,0.00009048468,0.0001311483,0.0008642886,0.0007130236,0.03718162,0.6402286,0.00690704,0.002259855,0.00005861518],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906374,0.0002551199,0.008107668,0.00004695872,0.000008482049,0.00001062626,0.00003654454,0.00002972045,0.0008674983],"genre_scores_gemma":[0.9952595,0.0002025747,0.003623148,0.00002977398,0.000004351872,0.00001110431,0.00003333084,0.00001010773,0.0008261304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008268097,"threshold_uncertainty_score":0.002425075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01816664467327892,"score_gpt":0.2627970280770409,"score_spread":0.2446303834037619,"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."}}