{"id":"W2104224322","doi":"10.1038/nature06358","title":"Characterizing the cancer genome in lung adenocarcinoma","year":2007,"lang":"en","type":"article","venue":"Nature","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1121,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"National Cancer Institute; American Lung Association; American Cancer Society; International Association for the Study of Lung Cancer; U.S. Department of Defense","keywords":"Biology; Adenocarcinoma; Genome; Genetics; Somatic cell; Gene duplication; Lung cancer; Gene; Cancer; Human genome; Cancer research; Computational biology; Pathology; 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":[0.0001950486,0.0002026754,0.0003509454,0.0008201255,0.0002388544,0.0006085801,0.0003162789,0.0004728506,0.001138306],"category_scores_gemma":[0.0005568548,0.0001425666,0.0002515125,0.001279208,0.000174023,0.0003900987,0.0003884879,0.000485631,0.000534228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003132414,"about_ca_system_score_gemma":0.0002771684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000838694,"about_ca_topic_score_gemma":0.002289768,"domain_scores_codex":[0.9998077,0.00002107869,0.00001629845,0.00006278991,0.00007270245,0.00001950293],"domain_scores_gemma":[0.9997473,0.00006915397,0.00005590483,0.00003661238,0.00004806364,0.00004294531],"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":[0.0002973519,0.00004667893,0.04460373,0.00128675,0.0002426087,0.001242914,0.0002574179,0.001118675,0.7747767,0.001870793,0.008282474,0.165974],"study_design_scores_gemma":[0.00003859372,0.0003465332,0.5531102,0.0001570852,0.0004678482,0.009426589,0.0003608378,0.005444747,0.1782585,0.005458822,0.246874,0.00005625988],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.82976,0.1044217,0.03600246,0.00574856,0.001105312,0.0001267126,0.01323411,0.0009077562,0.008693429],"genre_scores_gemma":[0.8467441,0.05681304,0.05767652,0.00425498,0.001436204,0.0001308362,0.02362666,0.0002441067,0.009073694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001138306,"threshold_uncertainty_score":0.003808022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005244510274556553,"score_gpt":0.258072847578326,"score_spread":0.2528283373037694,"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."}}