{"id":"W2153427462","doi":"10.1177/002215540004800403","title":"Introduction of a Novel HRP Substrate-Nanogold Probe for Signal Amplification in Immunocytochemistry","year":2000,"lang":"en","type":"article","venue":"Journal of Histochemistry & Cytochemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Medical Research Council Canada","keywords":"Horseradish peroxidase; Primary and secondary antibodies; Substrate (aquarium); Biotinylation; Immunolabeling; Immunocytochemistry; Chemistry; Streptavidin; Colloidal gold; Biophysics; Molecular biology; Nanotechnology; Materials science; Antigen; Biochemistry; Nanoparticle; Biology; Enzyme; Immunohistochemistry; Biotin","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005277009,0.0003539817,0.0005525802,0.00008037488,0.00006922865,0.00002338166,0.0004710452,0.0004532419,0.00005282966],"category_scores_gemma":[0.0001666285,0.0003571608,0.000432287,0.0002728708,0.0002605296,0.00002111712,0.00003638903,0.0003453146,5.479488e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001698677,"about_ca_system_score_gemma":0.0003040866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000506927,"about_ca_topic_score_gemma":0.000001092103,"domain_scores_codex":[0.99749,0.00002162174,0.001274583,0.0005205436,0.0003375504,0.0003556879],"domain_scores_gemma":[0.9976506,0.00002826618,0.0009882686,0.0005742768,0.0006318116,0.0001267667],"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":[0.001153742,0.0005029709,0.0001650842,0.0002322758,0.0000986201,0.000004101781,0.00002205657,0.0001524292,0.9926383,0.000003254704,0.002987875,0.002039281],"study_design_scores_gemma":[0.001473329,0.0002337296,0.0001131149,0.0001274425,0.00008985595,0.0003337778,0.0001118091,0.00007513033,0.9910437,0.00006677417,0.005986536,0.0003447497],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987385,0.0008164036,0.0104356,0.0003117298,0.00004059584,0.000273289,0.00007496248,0.00001915945,0.0006432829],"genre_scores_gemma":[0.9792749,0.0001810269,0.01763534,0.00003174451,0.001039112,0.00003315146,0.0003102719,0.0000398898,0.001454553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008110072,"threshold_uncertainty_score":0.9998881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110207656235391,"score_gpt":0.2654020192146582,"score_spread":0.2543812535911191,"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."}}