{"id":"W2161654775","doi":"10.1053/j.gastro.2015.05.042","title":"KIT Signaling Promotes Growth of Colon Xenograft Tumors in Mice and Is Up-Regulated in a Subset of Human Colon Cancers","year":2015,"lang":"en","type":"article","venue":"Gastroenterology","topic":"Gastrointestinal Tumor Research and Treatment","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Center for Research Resources; National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health; National Institute of Neurological Disorders and Stroke; Howard Hughes Medical Institute","keywords":"Gene knockdown; CD44; LGR5; Cancer research; Chemistry; Flow cytometry; Colorectal cancer; Cell growth; Small hairpin RNA; Cell culture; Molecular biology; Cell; Biology; Wnt signaling pathway; Signal transduction; Cancer; Medicine; Internal medicine","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":[0.0003219358,0.0001427199,0.0005095109,0.0003388087,0.00001254564,0.000003130386,0.00008044148,0.00004169921,0.00001865825],"category_scores_gemma":[0.0001118166,0.0001297262,0.00004064549,0.0002037668,0.0002573816,0.00003585434,0.00006056101,0.0001870135,9.48828e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001786025,"about_ca_system_score_gemma":0.0001094707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003933301,"about_ca_topic_score_gemma":0.002965814,"domain_scores_codex":[0.9985892,0.0001380039,0.0004112453,0.0002462665,0.000191167,0.0004241613],"domain_scores_gemma":[0.9993641,0.00003855273,0.0001508166,0.0001166733,0.0001487158,0.0001811841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003199099,0.0002873893,0.9216397,0.0001449633,0.00004282453,0.0002676784,0.0009313799,0.000009562073,0.07335408,0.00001175918,0.00008036075,0.00003115167],"study_design_scores_gemma":[0.01623353,0.02715001,0.8718817,0.000775624,0.0000718818,0.0006970874,0.0009609351,0.0005635569,0.08128227,0.0002895408,0.000002913544,0.00009100425],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987671,0.00007781715,0.000006113426,0.0005784539,0.00001685695,0.0004975703,0.00002285462,0.000009207222,0.00002406938],"genre_scores_gemma":[0.999319,0.000004764122,0.0005055059,0.00006050038,0.000009210316,0.00003349275,0.00003421071,0.00001297924,0.0000203124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0497581,"threshold_uncertainty_score":0.5946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03237066343704856,"score_gpt":0.3037592623616133,"score_spread":0.2713885989245647,"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."}}