{"id":"W2164386659","doi":"10.1038/nn1433","title":"Electroreceptor neuron dynamics shape information transmission","year":2005,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":125,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Neuroscience; Electric fish; Afferent; Information transmission; Electroreception; Population; Transmission (telecommunications); Noise (video); Biology; Sensory system; Computer science; Fish <Actinopterygii>; Artificial intelligence; Medicine","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":[0.0002207759,0.0001853397,0.0002870721,0.000227232,0.0002284755,0.001085486,0.0003941995,0.0006573338,0.002636454],"category_scores_gemma":[0.002411658,0.0003814022,0.0002605414,0.0001580774,0.0004040735,0.001217262,0.0006275725,0.0006303621,0.0008433014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003251344,"about_ca_system_score_gemma":0.0002166545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005402195,"about_ca_topic_score_gemma":0.000685989,"domain_scores_codex":[0.9998857,0.00001643983,0.000007150511,0.00003188912,0.00003169502,0.00002708633],"domain_scores_gemma":[0.9996282,0.0001433837,0.00005615309,0.0000480143,0.00006017026,0.00006414138],"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":[0.0002808471,0.00007960809,0.008631345,0.00009800585,0.00007833406,0.000250939,0.0002754131,0.01416087,0.9294048,0.01202576,0.002173295,0.03254075],"study_design_scores_gemma":[0.000214578,0.0003987605,0.2141766,0.00008379659,0.0001982167,0.001092648,0.0006455066,0.5819003,0.1296363,0.06451593,0.006942914,0.0001944848],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9600256,0.0004220548,0.03051078,0.0005569918,0.0001876554,0.00001484576,0.0001824816,0.0002486412,0.007850825],"genre_scores_gemma":[0.9963862,0.0001754771,0.002045794,0.00007651178,0.00001720571,0.000005590101,0.00005783294,0.00007968632,0.00115567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002636454,"threshold_uncertainty_score":0.008819818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005049853541049534,"score_gpt":0.2296783589392541,"score_spread":0.2246285053982045,"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."}}