{"id":"W2159816974","doi":"10.1186/1742-2094-11-12","title":"Morphometric characterization of microglial phenotypes in human cerebral cortex","year":2014,"lang":"en","type":"article","venue":"Journal of Neuroinflammation","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","cited_by":329,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Neuroscience; Neurology; Phenotype; Cerebral cortex; Microglia; Human brain; Biology; Medicine; Pathology; Inflammation; Genetics; Gene; Immunology","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":[0.0002561419,0.0002620264,0.0001895202,0.001517782,0.0002257661,0.0004129721,0.0001412638,0.0002220481,0.001245567],"category_scores_gemma":[0.0004143068,0.0001494534,0.0001458072,0.0005201941,0.0002295824,0.0001495435,0.0002139649,0.0001233449,0.000253062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002107803,"about_ca_system_score_gemma":0.0001986288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00180534,"about_ca_topic_score_gemma":0.002577049,"domain_scores_codex":[0.9998753,0.00001442788,0.0000099829,0.00003834374,0.00003905352,0.00002277479],"domain_scores_gemma":[0.9998074,0.00003536306,0.00006409948,0.00002600999,0.00004719234,0.00001994482],"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":[0.001221584,0.00009466129,0.2999838,0.0004437876,0.0002379687,0.003168161,0.001121588,0.001274659,0.6445829,0.0003011943,0.00067542,0.04689426],"study_design_scores_gemma":[0.00001328899,0.0001633531,0.9615791,0.00002948598,0.00006281662,0.009512544,0.0004778263,0.001215162,0.02536232,0.0001381272,0.001428473,0.00001762454],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962382,0.001061727,0.0015614,0.00001308921,0.000003457956,0.00002441474,0.0004008666,0.00003300985,0.000663769],"genre_scores_gemma":[0.9961194,0.0005390354,0.002396081,0.00001036179,0.000007991644,0.00004264155,0.000610589,0.00001249022,0.0002615126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00180534,"threshold_uncertainty_score":0.004166782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01993993145900327,"score_gpt":0.2460398242116295,"score_spread":0.2260998927526262,"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."}}