{"id":"W2989637434","doi":"10.3747/co.26.5589","title":"Optimizing Biologic Sequencing in Metastatic Colorectal Cancer: First Line and Beyond","year":2019,"lang":"en","type":"review","venue":"Current Oncology","topic":"Colorectal Cancer Treatments and Studies","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Colorectal cancer; Oncology; Bevacizumab; Internal medicine; Human Epidermal Growth Factor Receptor 2; Epidermal growth factor receptor; Vascular endothelial growth factor; Clinical trial; Panitumumab; First line; Cancer research; VEGF receptors; Bioinformatics; Cancer; KRAS; Chemotherapy; Biology","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":[0.0007718424,0.0004915314,0.001252281,0.00121226,0.0001370398,0.0008092116,0.0005657545,0.0006830687,0.003543156],"category_scores_gemma":[0.001596115,0.0001881742,0.0008869455,0.001097087,0.0002690504,0.0008504161,0.000362616,0.001202656,0.0008274469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000422983,"about_ca_system_score_gemma":0.00089363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007565042,"about_ca_topic_score_gemma":0.001996147,"domain_scores_codex":[0.9997172,0.00009495889,0.00005937345,0.00003698265,0.00007210092,0.00001943963],"domain_scores_gemma":[0.9992867,0.0004856743,0.0001062392,0.00001357144,0.00008707873,0.00002067429],"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":[0.0001473135,0.00004921822,0.0001803139,0.04019103,0.0002449361,0.0001116455,0.00004516229,0.0003449277,0.0005516477,0.002050774,0.01185585,0.9442273],"study_design_scores_gemma":[0.0001019536,0.0003882924,0.001485748,0.03036753,0.0008231945,0.001704325,0.00008992216,0.0001941628,0.0006255812,0.002962651,0.9612306,0.00002598875],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001031835,0.9992003,0.00005515203,0.0001944906,0.00005651536,0.000003572626,0.00001150644,0.000002287154,0.0003729846],"genre_scores_gemma":[0.001002386,0.9984123,0.000154579,0.0001934693,0.00006284415,0.00000570184,0.00001923531,0.000001096143,0.0001484209],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003543156,"threshold_uncertainty_score":0.0118531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2696701556583589,"score_gpt":0.4713477277304132,"score_spread":0.2016775720720543,"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."}}