{"id":"W2077223464","doi":"10.1046/j.0953-816x.2001.01594.x","title":"Phase‐coupled oscillator models can predict hippocampal inhibitory synaptic connections","year":2001,"lang":"en","type":"article","venue":"European Journal of Neuroscience","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"Medical Research Council; Natural Sciences and Engineering Research Council of Canada; Heart and Stroke Foundation of Canada","keywords":"Neuroscience; Inhibitory postsynaptic potential; Hippocampal formation; Physics; Coupling (piping); Local field potential; Rhythm; Dorsum; GABAergic; Hippocampus; Population; Biology; Anatomy; Acoustics","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":[0.0002633618,0.0005823716,0.0004056573,0.0002798015,0.0001860992,0.0004567163,0.000600863,0.0008561075,0.002207027],"category_scores_gemma":[0.002473566,0.0004154863,0.0003787886,0.0002259054,0.0003256339,0.0009976118,0.0003519747,0.0005915273,0.0005809097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002757459,"about_ca_system_score_gemma":0.0003548637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00278086,"about_ca_topic_score_gemma":0.002401863,"domain_scores_codex":[0.9999526,0.00001143474,0.0000027712,0.00001096993,0.000009975192,0.00001226326],"domain_scores_gemma":[0.9995335,0.0002876629,0.00007739433,0.0000219193,0.00005003683,0.00002938774],"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":[0.00001840055,0.00001567168,0.001479754,0.00002291818,0.00002140133,0.00005603174,0.00002638501,0.9788928,0.001991295,0.01309444,0.0003883253,0.003992657],"study_design_scores_gemma":[0.000003075815,0.000003506148,0.0001489005,0.000001692844,0.000002639097,0.000007712044,0.000003198284,0.9939785,0.0001041119,0.005653583,0.00009059352,0.000002445875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3287044,0.000881271,0.6594961,0.0008206725,0.00009499903,0.00005557295,0.0003994016,0.0003932393,0.009154483],"genre_scores_gemma":[0.9763881,0.0007551402,0.01837103,0.00005214095,0.00004681223,0.0001074166,0.0001551281,0.00006134087,0.004062853],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00278086,"threshold_uncertainty_score":0.007383287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04839419092819087,"score_gpt":0.261623697250188,"score_spread":0.2132295063219972,"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."}}