{"id":"W4360840444","doi":"10.1117/1.nph.10.1.015008","title":"Longitudinal in vivo imaging of perineuronal nets","year":2023,"lang":"en","type":"article","venue":"Neurophotonics","topic":"Proteoglycans and glycosaminoglycans research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Azrieli Foundation; Israel Science Foundation","keywords":"Perineuronal net; In vivo; Neuroscience; Neuroscientist; Bursting; Preclinical imaging; Biology; Calcium imaging; Synaptic plasticity; Neuroplasticity; Central nervous system; Chemistry; Calcium","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002094131,0.0003134748,0.0001300499,0.000254975,0.000195606,0.0003263163,0.0002639704,0.0004800974,0.001212518],"category_scores_gemma":[0.0001655745,0.0002350816,0.0001114633,0.0001436241,0.0001914319,0.0003621788,0.0003555945,0.0006301762,0.0002965113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002950032,"about_ca_system_score_gemma":0.0003001461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000802535,"about_ca_topic_score_gemma":0.001338409,"domain_scores_codex":[0.999938,0.000008895679,0.000003441355,0.000018203,0.00001460996,0.00001675983],"domain_scores_gemma":[0.9998676,0.0000302657,0.00003735583,0.00001349557,0.00002257315,0.00002877142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002275736,0.00001116363,0.0001395235,0.00001903469,0.000001889046,0.00004602161,0.00001261034,0.0001040959,0.9985203,0.0001221023,0.00003539205,0.0009651232],"study_design_scores_gemma":[0.00001965878,0.0002486962,0.008109466,0.00002779077,0.00001840556,0.0005725474,0.00006404846,0.009570477,0.9778174,0.0002564801,0.003283567,0.00001148543],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8988529,0.002216182,0.09225422,0.0003697001,0.00006439034,0.0001054586,0.0006786881,0.0003120481,0.00514641],"genre_scores_gemma":[0.8784565,0.003361602,0.1088972,0.0001586057,0.00004796245,0.0002112551,0.0005314798,0.0001130234,0.008222353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001212518,"threshold_uncertainty_score":0.004056215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01699977142647076,"score_gpt":0.2845391954905769,"score_spread":0.2675394240641061,"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."}}