{"id":"W2611207416","doi":"10.3747/co.24.3495","title":"Improving Molecular Testing and Personalized Medicine in Non-Small-Cell Lung Cancer in Ontario","year":2017,"lang":"en","type":"article","venue":"Current Oncology","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; Mount Sinai Hospital; Trillium Health Centre; University of Toronto; University Health Network; University of Ottawa; Princess Margaret Cancer Centre; Cancer Care Ontario; Barrie Urology Group; Women's College Hospital; McMaster University","funders":"Government of Ontario; Ontario Institute for Cancer Research; Cancer Care Ontario","keywords":"Medicine; Lung cancer; Context (archaeology); Medical physics; Personalized medicine; Cancer; Specialty; Pathology; Intensive care medicine; Bioinformatics; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003212113,0.0001842283,0.000175982,0.0005603,0.003881253,0.001368144,0.0009123677,0.0005936066,0.002758882],"category_scores_gemma":[0.007481208,0.0002006612,0.0003330421,0.001280499,0.001171186,0.0006046434,0.001920086,0.0006938649,0.0001372742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06640451,"about_ca_system_score_gemma":0.1877513,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9617756,"about_ca_topic_score_gemma":0.9866389,"domain_scores_codex":[0.9975773,0.0005833131,0.0001233233,0.0001705042,0.0008751921,0.0006705133],"domain_scores_gemma":[0.9914411,0.001192979,0.0008808725,0.0002133829,0.00302115,0.003250467],"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":[0.0004381679,0.0004047864,0.512019,0.001880934,0.0001128388,0.002530084,0.01768102,0.003198942,0.006363208,0.006773552,0.09601433,0.3525832],"study_design_scores_gemma":[0.0001874092,0.0003150133,0.7236111,0.0007263576,0.0001191027,0.0005370432,0.008815343,0.002902694,0.001949862,0.002054685,0.2587121,0.00006927168],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6332366,0.01869815,0.005972235,0.2326863,0.0008863696,0.001568366,0.001631126,0.0002324993,0.1050883],"genre_scores_gemma":[0.9667468,0.007775799,0.007067179,0.008578471,0.000172392,0.0002084508,0.0005146282,0.00003351352,0.008902775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06640451,"threshold_uncertainty_score":0.4818007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06377226674774933,"score_gpt":0.4212138699542191,"score_spread":0.3574416032064697,"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."}}