{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001512884,0.0001129542,0.0001299281,0.0001303925,0.00003216776,0.00001282219,0.0002413338,0.00004628314,0.00006068769],"category_scores_gemma":[0.00008959964,0.0001155214,0.00006873478,0.0003596093,0.00008244334,0.000003097628,0.0002230908,0.0001350251,0.00001737212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008634436,"about_ca_system_score_gemma":0.0001003823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000767959,"about_ca_topic_score_gemma":0.00006126614,"domain_scores_codex":[0.9988912,0.0000477724,0.0001887542,0.0003416245,0.0002009908,0.0003296048],"domain_scores_gemma":[0.9994972,0.0000139889,0.0000381226,0.0003345309,0.00005395937,0.00006224284],"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":[0.0000948369,0.00003843912,0.04471508,0.0000258283,0.000005690334,0.0001420194,0.00001551546,0.0004656033,0.9515994,0.00003906285,0.001530654,0.001327863],"study_design_scores_gemma":[0.0009713249,0.0003595262,0.124056,0.00002066303,0.000004748214,0.00007204292,0.00002995488,0.008813624,0.7767999,0.00005045254,0.08857057,0.0002511632],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977296,0.0001745375,0.00003055619,0.0001793762,0.0001128429,0.0001476064,0.00003097096,0.00001471721,0.001579794],"genre_scores_gemma":[0.9986839,0.0004497152,0.00008861321,0.0001022393,0.00003844954,0.00002183002,0.00001874065,0.00002567477,0.0005708006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1747995,"threshold_uncertainty_score":0.4710825,"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."}}