{"id":"W2991061300","doi":"10.3747/co.26.5719","title":"Current and Emerging Biomarkers in Metastatic Colorectal Cancer","year":2019,"lang":"en","type":"review","venue":"Current Oncology","topic":"Colorectal Cancer Treatments and Studies","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ipsen; Amgen","keywords":"Medicine; Colorectal cancer; Microsatellite instability; Companion diagnostic; Clinical significance; Oncology; Cancer; DNA mismatch repair; Targeted therapy; Biomarker; Disease; Personalized medicine; Mutation; Chromosome instability; Internal medicine; Bioinformatics; Cancer research; Gene; Microsatellite; Biology; Genetics; Chromosome; Allele","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008551222,0.0006834174,0.001039296,0.002910135,0.0002139812,0.0009623735,0.0005912466,0.0009100677,0.002969046],"category_scores_gemma":[0.001316321,0.0002014397,0.0005919032,0.002914673,0.0004861138,0.00123477,0.0006351779,0.001345295,0.001216737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006530533,"about_ca_system_score_gemma":0.001375402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001442526,"about_ca_topic_score_gemma":0.001942383,"domain_scores_codex":[0.999737,0.00006030147,0.0000459414,0.00004049094,0.00009303227,0.00002321488],"domain_scores_gemma":[0.9992625,0.0003801001,0.0001088187,0.00001560233,0.0001921146,0.00004080584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006213256,0.00003336709,0.0003669447,0.01992054,0.00009108827,0.0001692256,0.00005951379,0.0002767935,0.000786542,0.00318462,0.02333006,0.9517192],"study_design_scores_gemma":[0.00001231038,0.00008535504,0.001328743,0.00816589,0.0001644422,0.001447091,0.00008453513,0.000105482,0.0003476043,0.002233805,0.9860049,0.00001980056],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005665381,0.9989999,0.00005509881,0.0003316491,0.0001394981,0.000002167942,0.00001042108,0.000003560425,0.0004010871],"genre_scores_gemma":[0.000565237,0.9987857,0.0001083616,0.0001769693,0.0001404365,0.000003422708,0.00001884651,6.909568e-7,0.0002003213],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002969046,"threshold_uncertainty_score":0.009932458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2200317079574081,"score_gpt":0.5041194988588992,"score_spread":0.2840877909014911,"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."}}