{"id":"W2513871868","doi":"10.1369/0022155416665338","title":"Investigation of PD-L1 Biomarker Testing Methods for PD-1 Axis Inhibition in Non-squamous Non–small Cell Lung Cancer","year":2016,"lang":"en","type":"article","venue":"Journal of Histochemistry & Cytochemistry","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia; BC Cancer Agency","funders":"University of British Columbia; Bristol-Myers Squibb Canada; Bristol-Myers Squibb","keywords":"Immunohistochemistry; Biomarker; Medicine; Tissue microarray; Lung cancer; Lymph node; PD-L1; Cancer; Oncology; Transcriptome; Lung; Pathology; Cancer research; Internal medicine; Gene expression; Biology; Immunotherapy; Gene","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":[0.02415157,0.0008374438,0.001118093,0.002973274,0.0004586713,0.001279257,0.001041598,0.0009137666,0.0005769338],"category_scores_gemma":[0.01868435,0.0006140606,0.0007682288,0.0009359586,0.0008922023,0.001325971,0.001018334,0.0006208751,0.0003381174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000665638,"about_ca_system_score_gemma":0.0003721955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004548658,"about_ca_topic_score_gemma":0.0009413707,"domain_scores_codex":[0.9850819,0.008116108,0.001038847,0.001935721,0.003398974,0.0004285132],"domain_scores_gemma":[0.9828011,0.01057754,0.0019815,0.001273065,0.003088244,0.0002786314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002771629,0.0002814013,0.6738076,0.0008983113,0.0009251688,0.0003419022,0.0008217412,0.002808138,0.1891696,0.0003363572,0.0002673682,0.1275708],"study_design_scores_gemma":[0.0001642983,0.006367417,0.6528732,0.0002563747,0.00127628,0.005331421,0.001102639,0.04990466,0.2775962,0.00115428,0.003798173,0.0001750934],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9670023,0.006153473,0.02478809,0.0001659219,0.00007360072,0.0001566856,0.0001265466,0.0001127063,0.001420705],"genre_scores_gemma":[0.973763,0.0007217214,0.02495712,0.00006070109,0.00003032669,0.0001251999,0.000145283,0.00001866872,0.0001779723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02415157,"threshold_uncertainty_score":0.1277272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03126597858926772,"score_gpt":0.3262595637831157,"score_spread":0.2949935851938479,"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."}}