{"id":"W4323816801","doi":"10.1111/cas.15781","title":"<i>Fusobacterium nucleatum</i>‐induced exosomal <scp>HOTTIP</scp> promotes gastric cancer progression through the <scp>microRNA</scp>‐885‐3p/<scp>EphB2</scp> axis","year":2023,"lang":"en","type":"article","venue":"Cancer Science","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Microvesicles; Downregulation and upregulation; Fusobacterium nucleatum; PI3K/AKT/mTOR pathway; Cancer research; Gene knockdown; Protein kinase B; microRNA; Cancer; Exosome; Metastasis; Chemistry; Biology; Cell biology; Signal transduction; Apoptosis; Biochemistry; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009766882,0.0002343326,0.0002077559,0.0001333791,0.0001613274,0.0002244656,0.00008568631,0.0002649187,0.001098959],"category_scores_gemma":[0.00009420597,0.00008676201,0.0002538101,0.0001124212,0.0001824837,0.0002143326,0.0002374625,0.0004475901,0.0002704611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003112819,"about_ca_system_score_gemma":0.0002207917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008873465,"about_ca_topic_score_gemma":0.001065385,"domain_scores_codex":[0.9998884,0.00001504718,0.000009797237,0.00002083063,0.00002882244,0.00003706554],"domain_scores_gemma":[0.999966,0.000004550334,0.0000105018,0.000003683757,0.000005300089,0.000009960479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000167438,0.00002272428,0.0002723843,0.00006755776,0.000008750252,0.00007186694,0.00001529733,0.00006766518,0.9972031,0.0000999406,0.0002025901,0.001800597],"study_design_scores_gemma":[0.00002086007,0.0002482749,0.008192667,0.00001045369,0.00002208006,0.0002498633,0.0000544381,0.001032359,0.9861503,0.00006692279,0.003945839,0.000005993085],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884558,0.003024622,0.003892703,0.000293554,0.0001083077,0.00005627883,0.0009186129,0.0001614586,0.003088662],"genre_scores_gemma":[0.9950427,0.0008606264,0.001416035,0.0001502406,0.00001283103,0.00005094126,0.0006699929,0.00001529897,0.001781464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001098959,"threshold_uncertainty_score":0.003676414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01979625963053329,"score_gpt":0.2995424371710452,"score_spread":0.279746177540512,"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."}}