{"id":"W1575098853","doi":"10.1016/j.jmoldx.2015.03.005","title":"Analytical Performance of a 15-Gene Prognostic Assay for Early-Stage Non–Small-Cell Lung Carcinoma Using RNA-Stabilized Tissue","year":2015,"lang":"en","type":"article","venue":"Journal of Molecular Diagnostics","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Stage (stratigraphy); Biology; Gene; RNA; Carcinoma; Lung; Cancer research; Cell; Computational biology; Molecular biology; Oncology; Genetics; Internal medicine; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004196768,0.0001918732,0.0005360509,0.0001938102,0.00004579113,0.00002404661,0.0001230742,0.0001046947,0.0000140614],"category_scores_gemma":[0.001145656,0.0001568942,0.0001982015,0.0002227607,0.00006416805,0.00008481535,0.00003583635,0.0001916795,0.000001952724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002526989,"about_ca_system_score_gemma":0.001040313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003441289,"about_ca_topic_score_gemma":0.000002239967,"domain_scores_codex":[0.9983983,0.00005426996,0.0006461507,0.0001619451,0.0004582085,0.0002811082],"domain_scores_gemma":[0.9974734,0.0003471906,0.0004630902,0.0002361262,0.001115561,0.0003646227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001200532,0.002164985,0.9186658,0.001340001,0.001164903,0.001948051,0.001870296,0.009266811,0.05933814,0.00009417676,0.001183999,0.001762332],"study_design_scores_gemma":[0.03424903,0.01416639,0.0966619,0.001715081,0.01736618,0.0008555808,0.000786358,0.1104183,0.7205576,0.000119058,0.002275097,0.0008294082],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9650401,0.001996689,0.03144001,0.0001701487,0.0002385251,0.0008246268,0.00003844317,0.000006427486,0.0002450087],"genre_scores_gemma":[0.971049,0.0001303004,0.02837905,0.00009007144,0.0001489754,0.00001594762,0.00001632466,0.00004290123,0.0001274024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8220038,"threshold_uncertainty_score":0.639796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02958506565881748,"score_gpt":0.3267632172794425,"score_spread":0.2971781516206251,"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."}}