{"id":"W1409057506","doi":"","title":"Deciphering the role of gene dosage in lung adenocarcinoma expression networks.","year":2007,"lang":"en","type":"article","venue":"","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Copy-number variation; Biology; Gene; Gene dosage; Gene expression profiling; Gene expression; Adenocarcinoma; Cancer research; Cancer; Genetics; Copy number analysis; Computational biology; Genome","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000477064,0.0003088135,0.0003267431,0.0007883185,0.0001590543,0.000540245,0.0002893393,0.000231627,0.001655167],"category_scores_gemma":[0.0005274586,0.0002210791,0.0002602065,0.0006938024,0.0001787629,0.0004700195,0.0002378295,0.000453832,0.0003327166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005649363,"about_ca_system_score_gemma":0.0004096389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001705176,"about_ca_topic_score_gemma":0.006316498,"domain_scores_codex":[0.999826,0.00003175396,0.000009140407,0.00004383832,0.00007158467,0.00001759668],"domain_scores_gemma":[0.9998308,0.00007739595,0.00003004579,0.00001591337,0.0000285788,0.00001713915],"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":[0.0003160985,0.00005565478,0.02954104,0.0007725236,0.0001099526,0.0002118394,0.0001740014,0.006531992,0.6481263,0.003225361,0.008492231,0.3024431],"study_design_scores_gemma":[0.00008035924,0.0005606877,0.433121,0.0002614139,0.0005482698,0.002028825,0.000461575,0.1425755,0.3267266,0.01380871,0.07974183,0.00008531198],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7516311,0.05992486,0.1492295,0.005926207,0.0002212786,0.0001945392,0.01112992,0.002119569,0.01962307],"genre_scores_gemma":[0.8612291,0.02527879,0.09534072,0.0004531574,0.0001485278,0.0001808183,0.00841161,0.0001778383,0.008779405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001705176,"threshold_uncertainty_score":0.005537093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004160169520990451,"score_gpt":0.2204570588150221,"score_spread":0.2162968892940316,"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."}}