{"id":"W2120150988","doi":"10.1016/j.conb.2012.01.009","title":"Cellular and circuit properties supporting different sensory coding strategies in electric fish and other systems","year":2012,"lang":"en","type":"review","venue":"Current Opinion in Neurobiology","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":71,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Electric fish; Courtship; Sensory system; SIGNAL (programming language); Computer science; Coding (social sciences); Encoding (memory); Population; Contrast (vision); Biological neural network; Neural coding; Noise (video); Neuroscience; Communication; Fish <Actinopterygii>; Speech recognition; Biology; Artificial intelligence; Psychology; Machine learning; Mathematics; Medicine; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003982773,0.0004363407,0.001136077,0.00021266,0.00006992291,0.00004152213,0.0002102699,0.0004373945,0.00006780145],"category_scores_gemma":[0.00003487243,0.0003244581,0.00007274092,0.0001726726,0.0003403151,0.00009651898,0.0002640139,0.0006776906,0.00002163455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001379217,"about_ca_system_score_gemma":0.00002818565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005424926,"about_ca_topic_score_gemma":0.00006082355,"domain_scores_codex":[0.9969751,0.0007864355,0.0007953109,0.0007101579,0.00006285253,0.0006700958],"domain_scores_gemma":[0.9991651,0.0001632294,0.0003860043,0.0001966724,0.00000422952,0.00008480433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002735427,0.0008765878,0.5013363,0.03796561,0.00005187502,0.0000168951,0.0006035651,0.00001203358,0.005940237,0.000585772,0.0006715471,0.4519122],"study_design_scores_gemma":[0.0006087782,0.0003742204,0.09871525,0.004654756,0.0001550963,0.0002955153,0.0001901162,0.00007137052,0.00001409702,0.00003574526,0.8937121,0.001172929],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1113172,0.8840284,0.000002833186,0.0000140148,0.003407817,0.001090549,0.00003461508,0.00003069539,0.00007388818],"genre_scores_gemma":[0.08732347,0.912165,0.000001047495,0.00001934968,0.00017679,0.0002115518,0.00004665097,0.00003227521,0.00002388594],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8930406,"threshold_uncertainty_score":0.9999207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1530564686583386,"score_gpt":0.3291427694910678,"score_spread":0.1760863008327292,"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."}}