{"id":"W3151335080","doi":"10.3389/pore.2021.609717","title":"Automated PD-L1 Scoring for Non-Small Cell Lung Carcinoma Using Open-Source Software","year":2021,"lang":"en","type":"article","venue":"Pathology & Oncology Research","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Spinal Cord Injury BC; University of British Columbia","funders":"Mitacs","keywords":"Concordance; Medicine; Gold standard (test); Scoring system; Lung cancer; Correlation; Radiology; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.002991231,0.0002400965,0.0007429577,0.0003570931,0.0006134461,0.00006858121,0.0004999732,0.000587325,0.0002785583],"category_scores_gemma":[0.0005530691,0.0002342429,0.000193174,0.000762483,0.000520056,0.00008978152,0.0007389315,0.0008694922,0.00003680828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000856296,"about_ca_system_score_gemma":0.003117672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002789938,"about_ca_topic_score_gemma":0.0001542048,"domain_scores_codex":[0.9964213,0.0007658888,0.000498813,0.000863464,0.0002822646,0.001168241],"domain_scores_gemma":[0.9970204,0.001036507,0.0001265151,0.0007109393,0.0008790617,0.0002266027],"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":[0.00566743,0.0009325981,0.1703035,0.0006821253,0.0002340346,0.005548035,0.002145696,0.00002524247,0.780376,0.00001642634,0.00941193,0.02465703],"study_design_scores_gemma":[0.05630879,0.01096444,0.3331344,0.001075578,0.0008628632,0.01471391,0.009061894,0.03280623,0.3982935,0.0002569917,0.1409055,0.00161592],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880168,0.002729267,0.002377955,0.001475093,0.0005515722,0.001760595,0.00002730442,0.0001861351,0.002875237],"genre_scores_gemma":[0.9542578,0.0002406106,0.03591162,0.001426911,0.0004188903,0.0005005629,0.0001278942,0.000121896,0.006993856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3820825,"threshold_uncertainty_score":0.9552148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1234028680292866,"score_gpt":0.4388592691444494,"score_spread":0.3154564011151629,"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."}}