{"id":"W2001388733","doi":"10.1523/jneurosci.4795-04.2005","title":"Spike-Frequency Adaptation Separates Transient Communication Signals from Background Oscillations","year":2005,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":222,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Electric fish; Electroreception; Adaptation (eye); Neuroscience; Stimulus (psychology); Spike (software development); Biological system; Physics; Computer science; Biology; Sensory system; Psychology","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":[0.0001240267,0.0002151992,0.0002486804,0.0001798021,0.00009587275,0.0002222074,0.0002352096,0.0002910838,0.0004917889],"category_scores_gemma":[0.000574816,0.0001331116,0.000277685,0.0001739973,0.0002447237,0.0003387447,0.000288329,0.0003855645,0.0001433554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002902087,"about_ca_system_score_gemma":0.0001979557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001017656,"about_ca_topic_score_gemma":0.001165407,"domain_scores_codex":[0.9999443,0.000005705935,0.000003660055,0.00001521265,0.00001743174,0.00001370651],"domain_scores_gemma":[0.9998759,0.00005805564,0.00001984804,0.00001697304,0.0000134154,0.00001567337],"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":[0.00008158611,0.00002642219,0.004672498,0.00005363217,0.00002423555,0.0001722074,0.00007225289,0.01640498,0.9587907,0.001555907,0.000068339,0.01807737],"study_design_scores_gemma":[0.00001444725,0.0001775106,0.09740593,0.00001289513,0.00002818134,0.0004521541,0.0000526317,0.7181166,0.1788515,0.004064002,0.0007893916,0.00003469976],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8977945,0.0001277014,0.1006883,0.00004516021,0.00001141264,0.00002060357,0.00004823113,0.000252243,0.001011678],"genre_scores_gemma":[0.9935151,0.00007407868,0.006025051,0.00001281189,0.000003311391,0.000006627985,0.00003474041,0.00002275431,0.0003054745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001017656,"threshold_uncertainty_score":0.002105653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08390137329333729,"score_gpt":0.3064100327614322,"score_spread":0.2225086594680949,"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."}}