{"id":"W3038841609","doi":"10.1017/s1431927600031299","title":"A New Pre-Embedding Immunogold Method That Permits to Obtain a Very High Signal with a Very Good Ultrastucture","year":2001,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Immunogold labelling; Immunocytochemistry; Paraformaldehyde; Ultrastructure; Glutaraldehyde; In situ; Electron microscope; Microscopy; Confocal; Immunofluorescence; Resolution (logic); SIGNAL (programming language); Biophysics; Materials science; Biomedical engineering; Optics; Chemistry; Biology; Computer science; Chromatography; Pathology; Physics; Anatomy; Artificial intelligence; Medicine; Antibody","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003883148,0.000630845,0.0005145905,0.0008235305,0.0004124909,0.0005467263,0.0007207268,0.0008425404,0.002216162],"category_scores_gemma":[0.0002959958,0.0005797531,0.0004561213,0.0003024816,0.000580784,0.0006699382,0.0004319991,0.001091493,0.00185134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000245955,"about_ca_system_score_gemma":0.0003692586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001934288,"about_ca_topic_score_gemma":0.0006214621,"domain_scores_codex":[0.999718,0.00003215944,0.00002617493,0.0000902481,0.00009796095,0.00003543595],"domain_scores_gemma":[0.9996481,0.0000739151,0.00004662834,0.00009105648,0.0000794674,0.00006087296],"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":[0.00001626531,0.00001681729,0.00003950075,0.00007378501,0.000004616808,0.00007341916,0.000009041272,0.00003510677,0.9940552,0.0003336719,0.0001208174,0.005221849],"study_design_scores_gemma":[0.00002116019,0.0002867569,0.002314952,0.00002350943,0.00005795989,0.003171276,0.00001604838,0.001475979,0.9673576,0.0003830683,0.02485718,0.00003453725],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1665856,0.008098462,0.8109071,0.0007987245,0.001498842,0.0003077282,0.0004259722,0.002150851,0.009226727],"genre_scores_gemma":[0.2706908,0.006537399,0.7071511,0.0003842816,0.0004118074,0.0003191135,0.001003178,0.000425004,0.01307727],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002216162,"threshold_uncertainty_score":0.007413805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009571853113854919,"score_gpt":0.2967187135130118,"score_spread":0.2871468603991568,"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."}}