{"id":"W2988821010","doi":"10.7554/elife.22962.022","title":"Author response: Computational models of O-LM cells are recruited by low or high theta frequency inputs depending on h-channel distributions","year":2017,"lang":"en","type":"peer-review","venue":"","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Ion channel; Function (biology); Inhibitory postsynaptic potential; Potassium channel; Conductance; Channel (broadcasting); Physics; Computer science; Neuroscience; Chemistry; Biophysics; Biology; Biochemistry; Cell biology; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005000643,0.0006780735,0.0006480335,0.0003011063,0.000463311,0.001024181,0.001205655,0.001797995,0.06578847],"category_scores_gemma":[0.004451451,0.0003301546,0.0008728298,0.0003355845,0.0003686754,0.001275388,0.0009045364,0.0009249988,0.007295487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006889559,"about_ca_system_score_gemma":0.001090956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00533536,"about_ca_topic_score_gemma":0.009899802,"domain_scores_codex":[0.9998566,0.0000305906,0.000007418311,0.00005021038,0.00003091977,0.0000242956],"domain_scores_gemma":[0.9989962,0.0005444706,0.00005860033,0.00007506392,0.0001663264,0.0001593548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004844667,0.0001247036,0.007864897,0.0003735567,0.00009474978,0.000380762,0.0002541089,0.7627408,0.002835739,0.03044963,0.1656241,0.02877245],"study_design_scores_gemma":[0.000238296,0.00006972063,0.0009970471,0.00006815195,0.00003305768,0.0000737223,0.0003343071,0.9425416,0.001672648,0.03077951,0.02314253,0.00004936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.4352297,0.0008368211,0.2695279,0.02953341,0.003700762,0.0004270743,0.04425891,0.01281264,0.2036727],"genre_scores_gemma":[0.8599102,0.0005666885,0.07949651,0.002502316,0.000276622,0.0006952874,0.01271134,0.002636075,0.04120489],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.06578847,"threshold_uncertainty_score":0.2200844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2156655015772428,"score_gpt":0.430079884644721,"score_spread":0.2144143830674781,"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."}}