{"id":"W2990078743","doi":"10.3390/cancers11121907","title":"Proteogenomics of Colorectal Cancer Liver Metastases: Complementing Precision Oncology with Phenotypic Data","year":2019,"lang":"en","type":"article","venue":"Cancers","topic":"Colorectal Cancer Treatments and Studies","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Genome Canada","keywords":"KRAS; Colorectal cancer; Proteogenomics; Medicine; Phenotype; Cancer research; Internal medicine; Oncology; Digital polymerase chain reaction; Cancer; Bioinformatics; Biology; Transcriptome; Gene; Genetics; Gene expression; Polymerase chain reaction","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":[0.001142987,0.0005876421,0.0005427838,0.001601756,0.0001972475,0.0007563842,0.000239371,0.0003573389,0.0006112861],"category_scores_gemma":[0.001301692,0.0002350632,0.0002534892,0.0007847613,0.0002585104,0.0004383342,0.0005996467,0.0004447056,0.0002677717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001709026,"about_ca_system_score_gemma":0.0001533844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003541937,"about_ca_topic_score_gemma":0.000846583,"domain_scores_codex":[0.9995393,0.000136778,0.00003311667,0.0001237944,0.0001143925,0.00005270205],"domain_scores_gemma":[0.9993025,0.000215475,0.0002017711,0.0001019107,0.0001148654,0.00006351322],"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":[0.0004710279,0.00009843732,0.04580165,0.0002245596,0.0001590595,0.000559297,0.000156448,0.002383972,0.9030327,0.0003365678,0.0003995313,0.0463766],"study_design_scores_gemma":[0.00005065552,0.001019479,0.3157856,0.00007820595,0.0002737684,0.005767293,0.0003527547,0.07663789,0.591116,0.003945607,0.004841973,0.0001307544],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9428924,0.002156074,0.05047061,0.0004399372,0.00003517307,0.00008504862,0.00162641,0.0005666203,0.001727719],"genre_scores_gemma":[0.9586905,0.0007908872,0.03893761,0.0001855978,0.00003844815,0.00003848142,0.0008597907,0.00004686993,0.0004118438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001601756,"threshold_uncertainty_score":0.006044805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05608268828848995,"score_gpt":0.3408768291329841,"score_spread":0.2847941408444942,"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."}}