{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001571131,0.0006083484,0.0003247939,0.0008147416,0.0003975046,0.0006965359,0.0004814266,0.001096061,0.0008947367],"category_scores_gemma":[0.002154267,0.0004260314,0.000420729,0.0004015618,0.0007028657,0.0002593758,0.0002681989,0.0006174251,0.000696599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005149185,"about_ca_system_score_gemma":0.0006784213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001004094,"about_ca_topic_score_gemma":0.001849458,"domain_scores_codex":[0.9982073,0.0005723132,0.00006550481,0.0005149822,0.000501938,0.0001380228],"domain_scores_gemma":[0.9990482,0.0005107913,0.0001040843,0.00006493097,0.0002008231,0.0000712097],"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":[0.0006388187,0.0001371781,0.02004602,0.00005531982,0.00007815664,0.0001023443,0.0001396696,0.001129577,0.9673405,0.0003279962,0.0001920702,0.009812254],"study_design_scores_gemma":[0.00008112844,0.001476692,0.03226713,0.00002711229,0.0002124393,0.0005942527,0.00008837167,0.0259994,0.9367101,0.0003967859,0.002095201,0.00005138732],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9265634,0.001937114,0.06674372,0.000318223,0.0002059895,0.0002403428,0.00107294,0.000572102,0.002346033],"genre_scores_gemma":[0.9475656,0.0004366052,0.04760762,0.0005806297,0.0000654272,0.0001893219,0.001579862,0.00004621043,0.001928782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001571131,"threshold_uncertainty_score":0.008309066,"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."}}