{"id":"W2044495960","doi":"10.3791/2059","title":"A Thin-skull Window Technique for Chronic Two-photon &lt;em&gt;In vivo&lt;/em&gt; Imaging of Murine Microglia in Models of Neuroinflammation","year":2010,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases; National Eye Institute; National Institute of General Medical Sciences; National Institute of Mental Health; National Institutes of Health; Fonds de Recherche du Québec - Santé; Alfred P. Sloan Foundation; Burroughs Wellcome Fund","keywords":"Microglia; In vivo; Skull; Neuroscience; Preclinical imaging; Pathology; Neuroinflammation; Medicine; Biomedical engineering; Biology; Anatomy; Inflammation; Immunology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00100988,0.0003153652,0.0006401287,0.0009300167,0.00007567812,0.00006802081,0.0005083834,0.0001041173,0.0001193449],"category_scores_gemma":[0.0003858197,0.0003098796,0.0002424652,0.0004654875,0.00007511186,0.0008642765,0.00009704338,0.0004079401,0.000002445982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001039946,"about_ca_system_score_gemma":0.0002099692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006851426,"about_ca_topic_score_gemma":0.00003438475,"domain_scores_codex":[0.9962793,0.0003312657,0.001837492,0.0004155832,0.000757743,0.000378627],"domain_scores_gemma":[0.9974217,0.0001901243,0.001616463,0.0003796615,0.0002616863,0.0001303735],"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":[0.0005080134,0.0003696687,0.00002921312,0.00007632968,0.00000520472,0.00004431088,0.0009392167,0.001258797,0.9928046,0.003725667,0.00005540009,0.000183504],"study_design_scores_gemma":[0.005333425,0.0003804746,0.00004654699,0.0001550225,0.00001271472,0.0001357202,0.00004397037,0.03420603,0.9578343,0.001453746,0.0001857317,0.0002123248],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881784,0.00006735534,0.009570637,0.00009481528,0.0006585552,0.001235052,0.00001911788,0.00002735535,0.0001487388],"genre_scores_gemma":[0.9934762,0.00008412428,0.005952087,0.0001489349,0.0001150801,0.00007857128,0.000002459118,0.00006146168,0.000081087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03497038,"threshold_uncertainty_score":0.9999353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02711859031327239,"score_gpt":0.3534909033875482,"score_spread":0.3263723130742758,"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."}}