{"id":"W2910664424","doi":"10.1371/journal.pone.0209429","title":"Using computational models to predict in vivo synaptic inputs to interneuron specific 3 (IS3) cells of CA1 hippocampus that also allow their recruitment during rhythmic states","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inhibitory postsynaptic potential; Neuroscience; Excitatory postsynaptic potential; Interneuron; Hippocampus; Hippocampal formation; Biology; In vivo","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":[0.0002636563,0.0005159628,0.0005554643,0.0003356033,0.000334248,0.000635959,0.0008246676,0.00111122,0.001481449],"category_scores_gemma":[0.001626452,0.0004585554,0.0006311914,0.0002897948,0.0004907844,0.000823598,0.0004411726,0.0007173095,0.0001668164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007796881,"about_ca_system_score_gemma":0.001091153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008500597,"about_ca_topic_score_gemma":0.01116166,"domain_scores_codex":[0.9999461,0.00001245034,0.000003708753,0.00001456806,0.000009460181,0.00001376031],"domain_scores_gemma":[0.9993255,0.0004827592,0.00008332478,0.00003042656,0.00004615436,0.00003196943],"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":[0.00001227781,0.0000083451,0.0004805501,0.000009838483,0.000008811139,0.00001290219,0.000005120763,0.9979957,0.0003872912,0.0005884999,0.00003740142,0.0004532748],"study_design_scores_gemma":[0.000001894145,0.000003073156,0.00009596096,8.775056e-7,0.000002421092,0.000002445352,0.000001954373,0.999321,0.00009913011,0.0004534913,0.00001663149,0.000001172772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.774873,0.0003042085,0.2178836,0.0005915867,0.00004622346,0.00006255537,0.0007462644,0.0003845728,0.005108044],"genre_scores_gemma":[0.9825764,0.0001263118,0.01586588,0.00005775585,0.00001082834,0.0001215171,0.000261641,0.00003850738,0.0009413164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008500597,"threshold_uncertainty_score":0.01690227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2281500175601053,"score_gpt":0.3227626824508442,"score_spread":0.09461266489073894,"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."}}