{"id":"W2981423664","doi":"10.1016/j.jtho.2019.08.1673","title":"P2.09-24 IASLC Global Survey for Pathologists on PD-L1 Testing for Non-Small Cell Lung Cancer","year":2019,"lang":"en","type":"article","venue":"Journal of Thoracic Oncology","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Pembrolizumab; Lung cancer; Durvalumab; Quality assurance; Oncology; Medical physics; Cancer; Internal medicine; Pathology; Immunotherapy; External quality assessment","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001879642,0.0003497309,0.0003207288,0.002037995,0.0006412758,0.0008931056,0.0006459844,0.0008054195,0.01601607],"category_scores_gemma":[0.005451671,0.0002580482,0.0004965627,0.003158782,0.000231354,0.000657748,0.001253288,0.0007894085,0.00528511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001495542,"about_ca_system_score_gemma":0.002694161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04204126,"about_ca_topic_score_gemma":0.05119834,"domain_scores_codex":[0.9984737,0.0003464281,0.0002043045,0.0002069769,0.0003719862,0.0003966848],"domain_scores_gemma":[0.9918293,0.0009767051,0.002200737,0.0002773876,0.002917202,0.001798587],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003225461,0.0001861602,0.6602014,0.0002138432,0.00007120202,0.00007070521,0.00009444823,0.0002416379,0.0003467798,0.0002458491,0.3269231,0.01108235],"study_design_scores_gemma":[0.00008380233,0.00008742549,0.9657926,0.0001370094,0.00002311727,0.00008207681,0.0003132939,0.0002173547,0.0001679145,0.0001064714,0.03297295,0.00001606231],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1925404,0.0007889383,0.001021276,0.008966738,0.0008486982,0.001492129,0.721706,0.0005504573,0.07208525],"genre_scores_gemma":[0.5688296,0.0008641443,0.002440526,0.0114956,0.0005256347,0.003834293,0.3863007,0.000254048,0.02545541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9981204,"threshold_uncertainty_score":0.08359307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05809206462201901,"score_gpt":0.4309762567463521,"score_spread":0.3728841921243331,"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."}}