{"id":"W1983065532","doi":"10.1371/journal.pcbi.1002875","title":"Significance Analysis of Prognostic Signatures","year":2013,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Clinical Research Institute","funders":"Klarman Family Foundation","keywords":"Breast cancer; Univariate; Gene signature; Oncology; Gene expression profiling; Survival analysis; Cancer; Recursive partitioning; Biology; Ovarian cancer; Gene; Metastasis; Bioinformatics; Internal medicine; Computational biology; Medicine; Gene expression; Genetics; Computer science; Machine learning; Multivariate statistics","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":[0.00004135129,0.000078088,0.0001378288,0.0001346722,0.00002917765,0.000006660006,0.0001279576,0.00009462947,0.0001760307],"category_scores_gemma":[0.00007235385,0.00006756478,0.0000786533,0.0002971589,0.00008261496,0.000002254875,0.00003380609,0.00003998104,0.00001472533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005431905,"about_ca_system_score_gemma":0.00005078661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001067374,"about_ca_topic_score_gemma":0.000002636881,"domain_scores_codex":[0.9993277,0.00006726925,0.0001855737,0.0002402675,0.00007579224,0.0001033755],"domain_scores_gemma":[0.9994395,0.00004877284,0.0001133657,0.000139048,0.0002202961,0.00003895399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001564694,0.00009102488,0.03203621,0.000007511386,0.0004591237,7.546335e-8,0.00001934398,0.01542681,0.9474862,0.001589267,0.001451692,0.001417115],"study_design_scores_gemma":[0.0005457957,0.0004534223,0.7845016,0.00001268871,0.0003929567,0.000001064245,0.00008501219,0.04594359,0.1570989,0.006188245,0.004398602,0.0003781365],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796546,0.0003742379,0.01882531,0.0002531927,0.00005326698,0.0002090098,0.00002894714,0.00001151073,0.0005899692],"genre_scores_gemma":[0.9967474,0.00001382471,0.002059624,0.0002424036,0.00004684939,0.00008102986,0.0007013926,0.000005729259,0.0001017489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7903872,"threshold_uncertainty_score":0.2755212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01341624485266165,"score_gpt":0.2604890887081666,"score_spread":0.247072843855505,"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."}}