{"id":"W2803026631","doi":"10.3747/co.25.4044","title":"Evidence-Based Best Practices for EGFR T790M Testing in Lung Cancer in Canada","year":2018,"lang":"en","type":"article","venue":"Current Oncology","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Canada's Michael Smith Genome Sciences Centre; McGill University Health Centre; BC Cancer Foundation; University Health Network; Toronto General Hospital; University of Toronto; William Osler Health System; Princess Margaret Cancer Centre; BC Cancer Agency; Ottawa Hospital","funders":"Universitair Medisch Centrum Groningen; Université de Montréal; University of Alberta; AstraZeneca Canada; McGill University Health Centre; McGill University; Alberta Health Services; AstraZeneca","keywords":"Medicine; Osimertinib; T790M; Lung cancer; Oncology; Epidermal growth factor receptor; Internal medicine; Genetic testing; Cancer; Personalized medicine; Intensive care medicine; Bioinformatics; Erlotinib; Gefitinib","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001464729,0.00009282179,0.0002177174,0.00009443912,0.00004737397,0.000006120107,0.00005657713,0.00004120097,0.0001129078],"category_scores_gemma":[0.001126281,0.00007926013,0.00001904282,0.0002552224,0.000042278,0.00009698537,0.0000134607,0.0001288384,0.000002844213],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004047492,"about_ca_system_score_gemma":0.01114717,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7604033,"about_ca_topic_score_gemma":0.9727554,"domain_scores_codex":[0.9991435,0.00004365841,0.000229109,0.000223281,0.0001032745,0.0002571108],"domain_scores_gemma":[0.9986349,0.0007748622,0.0002071763,0.0001089768,0.0001991345,0.00007489817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001432584,0.000254532,0.7771791,0.0002047782,0.00002145351,0.00002470422,0.0002472403,0.00006326308,0.00009621397,0.00001616325,0.002345373,0.219404],"study_design_scores_gemma":[0.01376483,0.002776956,0.5462589,0.007034554,0.0009656128,0.00002531166,0.001382471,0.05043504,0.0007551544,0.00006440282,0.376094,0.0004427054],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9650863,0.0167579,0.0001329256,0.01103443,0.002640216,0.001588354,0.00005572681,0.00001800057,0.002686166],"genre_scores_gemma":[0.9972232,0.0002177238,0.0008560023,0.0004474701,0.0004219669,0.0006667,0.00001703018,0.00001150691,0.0001384289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3737487,"threshold_uncertainty_score":0.9997758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3124568494135863,"score_gpt":0.5412194137319866,"score_spread":0.2287625643184003,"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."}}