{"id":"W2771180841","doi":"10.3791/56615","title":"Improved 3D Hydrogel Cultures of Primary Glial Cells for &lt;em&gt;In Vitro&lt;/em&gt; Modelling of Neuroinflammation","year":2017,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Innovates; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microglia; Gliosis; Neuroinflammation; Cell biology; Scaffold; Glial scar; Basal lamina; 3D cell culture; In vitro; Neuroglia; Inflammation; Chemistry; Astrocyte; Cell culture; Confocal microscopy; Materials science; Central nervous system; Pathology; Neuroscience; Biomedical engineering; Biology; Medicine; Immunology; Biochemistry; Ultrastructure","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":[0.0002641955,0.0005202365,0.0002530362,0.0002515199,0.0001898557,0.0003990445,0.0002597854,0.000314827,0.001216755],"category_scores_gemma":[0.00012165,0.0001557508,0.0002953004,0.0001787733,0.0002315985,0.0002887507,0.000212851,0.0004042475,0.0004983413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003066775,"about_ca_system_score_gemma":0.000370964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001011362,"about_ca_topic_score_gemma":0.002585242,"domain_scores_codex":[0.999882,0.00001562139,0.00001524733,0.00002220518,0.00004724549,0.00001771435],"domain_scores_gemma":[0.9998951,0.00002439643,0.00002691021,0.00002058382,0.00001710458,0.00001589562],"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":[0.00002064944,0.00001480347,0.00009659356,0.00004518433,0.000003339277,0.000065587,0.00002384683,0.0003446185,0.9978703,0.0001655056,0.00002960286,0.001319978],"study_design_scores_gemma":[0.000003538204,0.00005305695,0.0004716218,0.000006298214,0.000008926844,0.0001160064,0.000009850687,0.001082276,0.9963504,0.00002852615,0.00186522,0.000004222046],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9212074,0.002213639,0.07003114,0.000103098,0.00009492302,0.0001648858,0.001212935,0.0003883687,0.004583605],"genre_scores_gemma":[0.9297185,0.00199189,0.06088326,0.0000429973,0.00001677114,0.000246424,0.001017354,0.00009093844,0.00599194],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001216755,"threshold_uncertainty_score":0.00407052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05276588114197962,"score_gpt":0.3562239269579083,"score_spread":0.3034580458159287,"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."}}