{"id":"W1971687213","doi":"10.1016/s0165-0270(03)00119-5","title":"A simple method for immunocytochemical staining with multiple rabbit polyclonal antibodies","year":2003,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Polyclonal antibodies; Staining; Rabbit (cipher); Immunocytochemistry; Antibody; Simple (philosophy); Biology; Molecular biology; Computer science; Immunology; Genetics; Endocrinology; Computer security; Philosophy","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":[0.001078883,0.004309868,0.002394342,0.003964465,0.002500559,0.000942158,0.003968726,0.002182005,0.01400978],"category_scores_gemma":[0.0007651844,0.003024243,0.003039235,0.001651048,0.001032286,0.001909905,0.00265731,0.006125016,0.009777605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009982222,"about_ca_system_score_gemma":0.0009900508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001644912,"about_ca_topic_score_gemma":0.004293768,"domain_scores_codex":[0.9987983,0.0001442185,0.0001573524,0.0003239533,0.000387005,0.0001891742],"domain_scores_gemma":[0.999087,0.0002537872,0.00007328349,0.0002738128,0.0001630247,0.0001491826],"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":[0.0002078035,0.0002006207,0.0002327718,0.0009676287,0.0001939937,0.0005802511,0.0001166732,0.000170009,0.9587427,0.002044704,0.005491835,0.03105115],"study_design_scores_gemma":[0.0007010896,0.001327876,0.007611909,0.0002781732,0.00120916,0.01545649,0.00009161323,0.00581953,0.7771112,0.007176727,0.1827999,0.0004163674],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0408883,0.0128495,0.9113088,0.001419016,0.002571803,0.00282931,0.001862229,0.009923551,0.01634742],"genre_scores_gemma":[0.06347471,0.006982914,0.8880371,0.0007615856,0.0005906202,0.006098025,0.007185143,0.001481656,0.02538814],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01400978,"threshold_uncertainty_score":0.04686737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04451910691489908,"score_gpt":0.4219981405926649,"score_spread":0.3774790336777659,"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."}}