{"id":"W2518302135","doi":"10.5858/arpa.2016-0119-ra","title":"Diagnostic Immunohistochemistry: What Can Go Wrong and How to Prevent It","year":2016,"lang":"en","type":"review","venue":"Archives of Pathology & Laboratory Medicine","topic":"HER2/EGFR in Cancer Research","field":"Medicine","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Context (archaeology); Immunohistochemistry; Computer science; Epitope; Vendor; Antibody; Task (project management); Primary and secondary antibodies; Process (computing); Medicine; Pathology; Immunology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009174156,0.0006732157,0.003205171,0.0005654915,0.00008127332,0.00001596098,0.0005406422,0.000377253,0.0002428067],"category_scores_gemma":[0.005302478,0.0004541938,0.0002043964,0.0004716186,0.002155291,0.00007286427,0.0004040984,0.0009317828,0.0000352587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002356867,"about_ca_system_score_gemma":0.001906298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001074866,"about_ca_topic_score_gemma":0.00001198244,"domain_scores_codex":[0.9961603,0.0006894267,0.0008357789,0.001005805,0.0005798874,0.0007288436],"domain_scores_gemma":[0.9937199,0.003456292,0.0004807226,0.00140728,0.0002006224,0.0007351565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006211347,0.0001296261,0.00008097749,0.02930007,0.0003354261,0.00209032,0.001569118,2.312981e-8,0.004564353,0.00006499192,0.01255297,0.94925],"study_design_scores_gemma":[0.0008707737,0.001196086,0.0001201731,0.1195744,0.0008846843,0.0005257535,0.0003517513,1.659091e-7,0.0002232551,0.00004322157,0.8758672,0.000342568],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005803385,0.9853587,0.0000377864,0.01034562,0.0005197218,0.001942115,0.0003093962,0.00004354983,0.0008628083],"genre_scores_gemma":[0.0002511507,0.9949054,0.0003538019,0.0006713099,0.0008059315,0.0005553701,0.0001547802,0.0001269826,0.00217525],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9489074,"threshold_uncertainty_score":0.999791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0343991355478382,"score_gpt":0.3853445796393571,"score_spread":0.3509454440915189,"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."}}