{"id":"W2111820153","doi":"10.3846/13926292.2014.980865","title":"MODELING CALCIUM DYNAMICS AND INHIBITION BASED SYNAPTIC PLASTICITY IN DENDRITIC SPINES","year":2014,"lang":"en","type":"article","venue":"Mathematical Modelling and Analysis","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Inhibitory postsynaptic potential; Postsynaptic potential; Neuroscience; Synaptic plasticity; Dendritic spine; Postsynaptic density; Metaplasticity; Nonsynaptic plasticity; Synaptic augmentation; Chemistry; Excitatory postsynaptic potential; Biology; Receptor; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002961576,0.0001368457,0.0003139994,0.0004242538,0.0001721139,0.00009053286,0.00008881932,0.00005795863,0.00001280928],"category_scores_gemma":[0.0004414463,0.0001171869,0.00006044814,0.0007205795,0.0002059385,0.0001130029,0.00006104782,0.0002261693,0.000006616506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001704695,"about_ca_system_score_gemma":0.00001162624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001159582,"about_ca_topic_score_gemma":0.00000746254,"domain_scores_codex":[0.998487,0.0001751508,0.0002770353,0.0004926546,0.0002497253,0.0003184601],"domain_scores_gemma":[0.9990243,0.0006736934,0.00002938094,0.0001117055,0.00002338084,0.0001375675],"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":[0.00002275295,0.0001579059,0.0005327666,0.0001392317,0.00001080784,0.00003632062,0.00006324049,0.9275681,0.06193407,0.009290961,2.901537e-7,0.0002435038],"study_design_scores_gemma":[0.0002233651,0.00004513856,0.00001318289,0.0000313715,0.0001264767,0.000006965127,0.00001212063,0.9809604,0.01024024,0.008225041,1.471939e-7,0.0001155098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.528182,0.000003740555,0.4715526,0.0001510975,0.00000692802,0.00004598849,0.000002134889,0.00001870021,0.00003683773],"genre_scores_gemma":[0.9990514,0.00002237795,0.0005919815,0.0002750722,0.00001232007,0.00001198462,6.636402e-7,0.000010359,0.00002385894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4709606,"threshold_uncertainty_score":0.4778745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06385284352839356,"score_gpt":0.3192242258814887,"score_spread":0.2553713823530951,"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."}}