{"id":"W2205724834","doi":"10.1021/acs.jproteome.5b00827","title":"Integrated Proteomic and Genomic Analysis of Gastric Cancer Patient Tissues","year":2015,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Gastric Cancer Management and Outcomes","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"National Institute of Environmental Health Sciences; National Institutes of Health; Ministry of Education, Science and Technology; National Research Foundation of Korea; Ministry of Health and Welfare; National Research Foundation","keywords":"Cancer; Computational biology; Proteomics; Biology; Cancer research; Genetics; Gene","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":[0.0002906348,0.0003047478,0.0004187639,0.00231261,0.0003314909,0.0003745623,0.000213624,0.000314304,0.001647992],"category_scores_gemma":[0.0004901743,0.0001435885,0.0002979212,0.001762011,0.0001375232,0.0001415525,0.0003991716,0.0002378248,0.000576827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002196332,"about_ca_system_score_gemma":0.0001857881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001044316,"about_ca_topic_score_gemma":0.00117382,"domain_scores_codex":[0.9996781,0.00003369297,0.00003333247,0.0001025994,0.0001059967,0.00004623022],"domain_scores_gemma":[0.9998369,0.00002529739,0.00002526202,0.00002016161,0.00006918741,0.00002315869],"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":[0.002543926,0.0002287979,0.1637775,0.0005751592,0.0003160312,0.004492058,0.0005127683,0.0005301718,0.7728027,0.0002774931,0.003024835,0.05091849],"study_design_scores_gemma":[0.0000569679,0.0005118385,0.8317574,0.00003279394,0.0003131759,0.01395978,0.0005565065,0.002762915,0.1350487,0.0002508197,0.01472073,0.00002843624],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772042,0.002071657,0.003596949,0.0001537739,0.00003571245,0.000110431,0.0141813,0.0002542164,0.002391707],"genre_scores_gemma":[0.9542124,0.001475087,0.01405234,0.0002073351,0.00005024927,0.0001732394,0.02780828,0.0000687022,0.001952415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00231261,"threshold_uncertainty_score":0.005513012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1129825909801604,"score_gpt":0.4068489958026716,"score_spread":0.2938664048225113,"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."}}