{"id":"W2897612538","doi":"10.1152/jn.00638.2018","title":"Direct assessment of presynaptic modulation of cortico-striatal glutamate release in a Huntington’s disease mouse model","year":2018,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Genetic Neurodegenerative Diseases","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Glutamate receptor; Neuroscience; Neurotransmitter; Glutamatergic; Striatum; Neurotransmission; Long-term depression; Excitatory postsynaptic potential; Biology; Metabotropic glutamate receptor 6; Metabotropic glutamate receptor; Stimulation; Chemistry; Receptor; Dopamine; Central nervous system; Biochemistry; Inhibitory postsynaptic potential; AMPA receptor","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":[0.0003331336,0.0009399631,0.0006188148,0.0007796052,0.0002775804,0.0004429479,0.0005775102,0.0008944562,0.001577742],"category_scores_gemma":[0.0001106069,0.0003362092,0.0004680846,0.0002932943,0.0004785346,0.0004090493,0.0003383475,0.001592668,0.0004493964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004572623,"about_ca_system_score_gemma":0.0002481901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001586592,"about_ca_topic_score_gemma":0.003142132,"domain_scores_codex":[0.9996972,0.00002268185,0.00004442267,0.00008642914,0.00009640323,0.00005286503],"domain_scores_gemma":[0.9996096,0.00003702963,0.0001415904,0.00003775105,0.00006260756,0.0001115249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000417644,0.00002000298,0.0000846492,0.00001900025,0.00000515736,0.00003540877,0.000007485731,0.00001410402,0.9995474,0.00001933651,0.00001667845,0.0001889989],"study_design_scores_gemma":[0.00002358922,0.0003765556,0.005812088,0.000009995563,0.00003650609,0.0002720676,0.00003919581,0.0008879063,0.991735,0.00003500867,0.0007622293,0.000009735565],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986093,0.001534243,0.007552539,0.0002282953,0.00007802482,0.000108929,0.002341321,0.0003649687,0.001698686],"genre_scores_gemma":[0.9662477,0.002088567,0.01726874,0.0002154289,0.00002924182,0.000390179,0.002984025,0.000184367,0.01059177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001586592,"threshold_uncertainty_score":0.005278051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02994207470845388,"score_gpt":0.3007520329556533,"score_spread":0.2708099582471994,"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."}}