{"id":"W4409753803","doi":"10.1101/2025.04.22.649661","title":"Characterization of iGABASnFR2 for in vivo mesoscale imaging of intracortical GABA dynamics","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; University of Lethbridge","keywords":"Characterization (materials science); Mesoscale meteorology; In vivo; Dynamics (music); Neuroscience; Physics; Geology; Nanotechnology; Materials science; Biology; Acoustics; Climatology","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":[0.000291214,0.0003431972,0.0002032916,0.0001217185,0.0001754039,0.0002833971,0.0003554222,0.0004163983,0.0008776761],"category_scores_gemma":[0.000175842,0.0001458163,0.0002190054,0.0001136027,0.000216134,0.000197841,0.0001608848,0.0006043784,0.0004955156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004248398,"about_ca_system_score_gemma":0.0001636771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001061351,"about_ca_topic_score_gemma":0.001789817,"domain_scores_codex":[0.9998951,0.000009545792,0.000008578755,0.00003200389,0.00003314928,0.00002157007],"domain_scores_gemma":[0.9998376,0.00002418056,0.0000466246,0.00002554359,0.00002704415,0.00003889966],"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":[0.00001301704,0.000005462381,0.00003153914,0.000005427682,9.790818e-7,0.000008404219,0.000004106132,0.00003935987,0.9996457,0.00002782672,0.00001414814,0.0002040732],"study_design_scores_gemma":[0.00001234534,0.00006828774,0.001548112,0.0000031151,0.000005910941,0.0001243763,0.00001552879,0.003101744,0.9930353,0.00002724951,0.002053601,0.000004516289],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744196,0.0003008593,0.02259695,0.000236219,0.000040412,0.00007798991,0.000962597,0.0002441443,0.001121156],"genre_scores_gemma":[0.9686446,0.0003052648,0.02562391,0.0001182684,0.00001201432,0.000186552,0.001457078,0.0001351853,0.003517231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001061351,"threshold_uncertainty_score":0.003082514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009650099964901699,"score_gpt":0.2654357989776847,"score_spread":0.255785699012783,"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."}}