{"id":"W2020404959","doi":"10.1097/mpa.0b013e318287d043","title":"Integrated Genomic, Transcriptomic, and RNA-Interference Analysis of Genes in Somatic Copy Number Gains in Pancreatic Ductal Adenocarcinoma","year":2013,"lang":"en","type":"article","venue":"Pancreas","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Ontario Institute for Cancer Research; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Biology; Gene; Genetics; Copy-number variation; RNA interference; Transcriptome; Locus (genetics); Human genome; Candidate gene; Somatic cell; Computational biology; Genome; Gene expression profiling; RNA; Gene expression","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001157862,0.0001684339,0.0003851482,0.0001678987,0.00002342586,0.00002587482,0.0001427734,0.0001027475,0.0002598846],"category_scores_gemma":[0.00002418175,0.0001573441,0.00008716722,0.0002662765,0.00007692669,0.00001129613,0.00004707942,0.00007198015,0.00001203916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003090427,"about_ca_system_score_gemma":0.00005985093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004438325,"about_ca_topic_score_gemma":0.001764073,"domain_scores_codex":[0.9989141,0.0001003134,0.0004144483,0.0002796726,0.00006214823,0.0002293274],"domain_scores_gemma":[0.9995383,0.00002203135,0.00009078631,0.0002329923,0.00005555935,0.00006035756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003004793,0.00004896806,0.7348411,0.00002622178,0.0002264204,0.00000226129,0.000465901,0.00005178444,0.2640463,0.00009803853,0.00001099417,0.0001518866],"study_design_scores_gemma":[0.000611384,0.00006557069,0.9626245,0.00003072718,0.0002308844,0.00001710788,0.001227102,0.00190773,0.03287,0.0001807065,0.00002943379,0.0002048028],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977021,0.001351162,0.0001995786,0.00003724576,0.0000288711,0.0002043357,0.00004568362,0.000005429234,0.0004256499],"genre_scores_gemma":[0.9986074,0.0004176777,0.0005861754,0.00003739484,0.00002183451,0.00005954801,0.0001050583,0.00001376146,0.0001511233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2311763,"threshold_uncertainty_score":0.670945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01144023374669023,"score_gpt":0.2273560779897946,"score_spread":0.2159158442431044,"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."}}