{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006196249,0.0007925089,0.0006302792,0.0006775997,0.000291917,0.0007988235,0.0003867515,0.000760609,0.0003394561],"category_scores_gemma":[0.007612577,0.0002359605,0.0007037098,0.0004743722,0.0004532456,0.0003583627,0.0005938672,0.0006344217,0.0002055066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003298318,"about_ca_system_score_gemma":0.000477668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003200004,"about_ca_topic_score_gemma":0.0002586012,"domain_scores_codex":[0.9964569,0.001588043,0.0001861195,0.00100585,0.000662369,0.0001006738],"domain_scores_gemma":[0.9969289,0.001374435,0.00087007,0.0002125635,0.0005002435,0.0001139184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01040317,0.00138074,0.5963149,0.0005050186,0.001368168,0.0002398041,0.0002898806,0.02342095,0.2440326,0.0003080076,0.000348892,0.1213879],"study_design_scores_gemma":[0.0005582308,0.01153738,0.4750486,0.00008590147,0.001254323,0.001551113,0.0001862736,0.2575223,0.2498399,0.0006323789,0.001662402,0.0001211845],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9709297,0.0007437204,0.02765552,0.00007841903,0.00001988182,0.00008351405,0.0001768262,0.0000810063,0.00023136],"genre_scores_gemma":[0.9692608,0.0001466856,0.02986535,0.00006515436,0.00001386546,0.0001030257,0.0003345207,0.00001274625,0.0001979272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006196249,"threshold_uncertainty_score":0.03276926,"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."}}