{"id":"W2977233247","doi":"10.3390/cancers11101426","title":"Evaluation and Validation of Plasma Proteins Using Two Different Protein Detection Methods for Early Detection of Colorectal Cancer","year":2019,"lang":"en","type":"article","venue":"Cancers","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Genome British Columbia; Jewish General Hospital; University of Victoria","funders":"Fondation De Famille Alvin Segal; Deutschen Konsortium für Translationale Krebsforschung; Jewish General Hospital; Leading Edge Endowment Fund; Warren Y. Soper Charitable Trust; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft; Genome British Columbia; McGill University; University of Victoria; Genome Canada","keywords":"Colorectal cancer; Colorectal adenoma; Medicine; Computational biology; Oncology; Cancer; Biology; Internal medicine","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":[0.0002674923,0.0001023273,0.0001685363,0.0000508125,0.00005510368,0.000007700528,0.00005328447,0.00008379282,0.00003182258],"category_scores_gemma":[0.00004875006,0.0001036377,0.00004749447,0.0001000874,0.00004116266,0.00009420185,0.00001809969,0.00007849139,9.880404e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008419217,"about_ca_system_score_gemma":0.0001316914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005983705,"about_ca_topic_score_gemma":0.00007242225,"domain_scores_codex":[0.9992706,0.00003450635,0.0002354428,0.0002156439,0.0001381314,0.0001057215],"domain_scores_gemma":[0.9991816,0.00003728245,0.0003509494,0.0001310499,0.0002730055,0.00002616827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001301512,0.000006807124,0.0002759118,0.0001582072,0.00002361261,3.493973e-9,0.00007918784,0.002290073,0.9172599,0.00003407244,4.954225e-8,0.07974207],"study_design_scores_gemma":[0.0006259665,0.00008839517,0.000103255,0.00008683316,0.00006887966,5.223607e-7,0.00003559174,0.14254,0.8550055,0.001330567,0.00002421992,0.00009020024],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7371907,0.00004853247,0.2611228,0.000003139919,0.00003251155,0.001509512,0.00002317771,0.00002262579,0.00004707061],"genre_scores_gemma":[0.9464232,0.00001163717,0.05119307,9.130904e-7,0.00003001969,0.002296078,0.000006143415,0.00001892274,0.00001995941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2099297,"threshold_uncertainty_score":0.4226224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03452411878113288,"score_gpt":0.3785745615108708,"score_spread":0.3440504427297379,"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."}}