{"id":"W3046188816","doi":"10.1016/j.tranon.2020.100836","title":"A combined FAK, c-MET, and MST1R three-protein panel risk-stratifies colorectal cancer patients","year":2020,"lang":"en","type":"article","venue":"Translational Oncology","topic":"Fibroblast Growth Factor Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Cancer Institute; National Institutes of Health","keywords":"Colorectal cancer; C-Met; Medicine; Focal adhesion; Internal medicine; Hepatocyte growth factor; Cancer research; Oncology; Receptor tyrosine kinase; Tumor progression; Adjuvant therapy; Receptor; Cancer; Cohort; Signal transduction; Biology; Cell biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00009099653,0.0001538909,0.0001894535,0.00003131723,0.0001004934,0.00001642708,0.0001370472,0.0002049948,0.0001390045],"category_scores_gemma":[0.00008041927,0.0001478428,0.0000594301,0.00009736267,0.0001970316,0.000008006279,0.00004888924,0.0002017371,0.00001535802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002178617,"about_ca_system_score_gemma":0.0002546955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001056428,"about_ca_topic_score_gemma":0.0006046536,"domain_scores_codex":[0.9988512,0.0001251029,0.0002209356,0.0003616079,0.0001986905,0.0002423939],"domain_scores_gemma":[0.9995222,0.00005398775,0.0000793184,0.00007518876,0.0001149064,0.0001543997],"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":[0.001886612,0.0001662846,0.2926218,0.00004926981,0.0001491677,0.000004294684,0.0003298645,0.00008617524,0.6967477,0.000483987,0.0004625929,0.007012316],"study_design_scores_gemma":[0.006339958,0.007674666,0.8432987,0.00002167127,0.00005093526,0.000003041167,0.00007205841,0.001328967,0.1290962,0.0009723594,0.01064204,0.0004994138],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963896,0.0001854764,0.0003553071,0.001623482,0.00004178272,0.0004588145,0.0002734376,0.00001691773,0.0006551369],"genre_scores_gemma":[0.9983996,0.00002847371,0.0008270794,0.0001919654,0.000138025,0.00008670706,0.0002655762,0.00002066759,0.00004191101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5676515,"threshold_uncertainty_score":0.6028852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03052520047996434,"score_gpt":0.287072677379306,"score_spread":0.2565474768993417,"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."}}