{"id":"W4393760092","doi":"10.5281/zenodo.6483441","title":"High-resolution imaging and manipulation of endogenous AMPA receptor surface mobility during synaptic plasticity and learning","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"European Commission","keywords":"AMPA receptor; Synaptic plasticity; Neuroscience; Plasticity; Endogeny; Synaptic scaling; Chemistry; Metaplasticity; Receptor; Psychology; Glutamate receptor; Materials science; 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":[0.001658198,0.004479923,0.002883017,0.003111227,0.001217523,0.002129224,0.004607516,0.00513918,0.02030597],"category_scores_gemma":[0.004570509,0.0008723805,0.003045006,0.003637376,0.0009469728,0.0008387755,0.001898023,0.002118306,0.03667378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001306914,"about_ca_system_score_gemma":0.002282637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01868327,"about_ca_topic_score_gemma":0.03125314,"domain_scores_codex":[0.9986491,0.0002106287,0.000122618,0.0005048922,0.000323125,0.0001897417],"domain_scores_gemma":[0.9983087,0.0005432076,0.0001772901,0.0004988501,0.0002811151,0.0001908922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009048136,0.0002896799,0.003310221,0.003421009,0.0005290531,0.0002648786,0.00007490326,0.00457899,0.003509618,0.0008276268,0.9712517,0.01103747],"study_design_scores_gemma":[0.002897945,0.0003928203,0.02701455,0.0009097013,0.0008384123,0.0009740669,0.0002496532,0.01152727,0.01098087,0.007347456,0.9365605,0.0003066886],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00227332,0.0005112958,0.0004911544,0.0001287753,0.00005223071,0.00004258619,0.9947369,0.001250107,0.0005136689],"genre_scores_gemma":[0.002025749,0.0001078102,0.0007928949,0.0000554249,0.0000104485,0.0001378716,0.9963535,0.0001100699,0.000406185],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02030597,"threshold_uncertainty_score":0.06793022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03995608844980387,"score_gpt":0.230411394113289,"score_spread":0.1904553056634852,"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."}}