{"id":"W1969687889","doi":"10.1097/jto.0b013e3182106d48","title":"Routinely Obtained Diagnostic Material as a Source of RNA for Personalized Medicine in Lung Cancer Patients","year":2011,"lang":"en","type":"article","venue":"Journal of Thoracic Oncology","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Response Biomedical (Canada)","funders":"Cancer Research UK","keywords":"Medicine; Lung cancer; Personalized medicine; Medical physics; Oncology; Internal medicine; Intensive care medicine; Bioinformatics","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":[],"consensus_categories":[],"category_scores_codex":[0.001564924,0.0003454546,0.0004552799,0.001444018,0.0004150164,0.001243564,0.0006217539,0.001087997,0.001715549],"category_scores_gemma":[0.00439868,0.0002977895,0.0002613343,0.0007792914,0.0005590114,0.0003449716,0.000337551,0.0008285875,0.0008975894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002764682,"about_ca_system_score_gemma":0.000482829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002940463,"about_ca_topic_score_gemma":0.0003886646,"domain_scores_codex":[0.9980521,0.0009297798,0.0001584934,0.0001970198,0.0005471291,0.0001154818],"domain_scores_gemma":[0.9981154,0.00103348,0.0002045195,0.0002171928,0.000329175,0.0001001469],"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":[0.005600566,0.0005622461,0.245277,0.001168707,0.0001780691,0.007066833,0.001236294,0.001051317,0.5556102,0.00218708,0.005021171,0.1750405],"study_design_scores_gemma":[0.0002522021,0.004261922,0.1930534,0.0009100866,0.0007322592,0.01780308,0.002275715,0.008271664,0.7318854,0.003082607,0.03738675,0.00008484756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9311371,0.02255398,0.02871613,0.002369611,0.0008141552,0.0004627197,0.002497371,0.0004575221,0.01099131],"genre_scores_gemma":[0.9710254,0.00376648,0.02076268,0.0008943171,0.0003921772,0.0002812816,0.001322397,0.00007004138,0.0014852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001715549,"threshold_uncertainty_score":0.008276165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01621553423817874,"score_gpt":0.3820832228284975,"score_spread":0.3658676885903188,"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."}}