{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002565112,0.00046827,0.0005927699,0.0003687068,0.0003671201,0.0007930365,0.001130738,0.00124197,0.001060791],"category_scores_gemma":[0.0008968321,0.0003425815,0.000581015,0.0003280143,0.0007283874,0.0009267539,0.0007364531,0.0006174313,0.0002284914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00105164,"about_ca_system_score_gemma":0.0008531408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009227147,"about_ca_topic_score_gemma":0.005631683,"domain_scores_codex":[0.9999162,0.00002234297,0.000006013599,0.0000149547,0.00002366417,0.00001682891],"domain_scores_gemma":[0.9997644,0.0001138988,0.00005478412,0.0000118293,0.00003198408,0.00002309538],"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":[0.00002359292,0.00001767488,0.0003448787,0.00002593094,0.0000152745,0.00008043036,0.00003463862,0.9635699,0.003137735,0.03128974,0.0001735387,0.001286631],"study_design_scores_gemma":[0.000003662958,0.00000499662,0.00006576071,0.000001897482,0.000002816854,0.000006994863,0.000003232564,0.9949176,0.00009528743,0.004782575,0.0001127511,0.000002442503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4147065,0.001920644,0.5457629,0.002503079,0.0001508429,0.00009417407,0.0004394263,0.0003023084,0.03412008],"genre_scores_gemma":[0.9734851,0.0009932795,0.01707748,0.0001000572,0.00004653954,0.0001422683,0.00010313,0.00006275528,0.007989395],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009227147,"threshold_uncertainty_score":0.01834691,"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."}}