{"id":"W1968578729","doi":"10.1016/j.acthis.2008.06.005","title":"A method for identifying viable and damaged neurons in adult mouse brain slices","year":2009,"lang":"en","type":"article","venue":"Acta Histochemica","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; University of Toronto; Canada Research Chairs","funders":"Canadian Institutes of Health Research","keywords":"NeuN; Neuroprotection; Propidium iodide; Ischemia; Slice preparation; Neuroscience; Brain Cell; Biology; In vitro; Brain ischemia; Brain damage; Neuron; Programmed cell death; Cell biology; Pharmacology; Medicine; Central nervous system; Apoptosis; Biochemistry; Immunology; Internal medicine; Immunohistochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001768482,0.000151086,0.0001635508,0.0001574571,0.0001700266,0.00008720202,0.0002082662,0.00005629657,0.00002062946],"category_scores_gemma":[0.001149368,0.0001646038,0.00004348827,0.0002200734,0.00002709154,0.000304306,0.0000343374,0.0001612952,0.000006201314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003032252,"about_ca_system_score_gemma":0.00002335555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005133795,"about_ca_topic_score_gemma":0.000008810911,"domain_scores_codex":[0.9986791,0.0001197639,0.0002726264,0.000516089,0.0001621172,0.0002502966],"domain_scores_gemma":[0.9991083,0.0003989712,0.0001159495,0.0002537816,0.00003282502,0.00009013632],"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":[0.00003723143,0.00003245831,0.000001881593,0.00001355319,3.902017e-7,0.000004870632,0.0002279033,0.000008275968,0.992416,0.003695858,0.002884901,0.0006766798],"study_design_scores_gemma":[0.0006644673,0.00007026127,0.00003414966,0.000008563197,0.000004189965,0.00001998751,0.00001544616,0.005753237,0.986536,0.0009781033,0.005759928,0.0001556749],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823141,0.00001016546,0.009305436,0.006692384,0.0001095818,0.0006456617,0.00001484244,0.0001713293,0.0007365362],"genre_scores_gemma":[0.9595296,0.00002950209,0.02278857,0.01480643,0.00005326028,0.00007633933,0.000008268459,0.00003143295,0.002676596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02278447,"threshold_uncertainty_score":0.671235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03798691843769371,"score_gpt":0.3173617566946072,"score_spread":0.2793748382569135,"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."}}