{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009414477,0.0007229518,0.0004567044,0.0001930899,0.001136897,0.0004877714,0.002729319,0.0003824538,0.00002088809],"category_scores_gemma":[0.001755396,0.0005764543,0.0003060194,0.002734949,0.001656669,0.0001440796,0.0013477,0.0005845031,0.0001591922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002982894,"about_ca_system_score_gemma":0.001801251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000139845,"about_ca_topic_score_gemma":0.00008209039,"domain_scores_codex":[0.9939322,0.0002191789,0.0006384574,0.001989694,0.00117284,0.002047611],"domain_scores_gemma":[0.9964359,0.0002282476,0.0005388105,0.001680931,0.0005301906,0.0005859255],"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":[0.000005907444,0.0001395269,0.007476775,0.00009558564,0.00005816202,0.00004666194,0.00137844,0.00009723383,0.9597099,0.00005508121,0.0271519,0.003784825],"study_design_scores_gemma":[0.0007038952,0.0003199077,0.02001184,0.0001978555,0.00008564692,0.00004869985,0.001147097,0.0003822354,0.8839929,0.0002120662,0.0927644,0.0001335222],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858167,0.007330231,0.0001557648,0.0004108704,0.001992636,0.00113942,0.0002139953,0.0002412299,0.002699193],"genre_scores_gemma":[0.9895211,0.001850898,0.00067388,0.0009028939,0.001232481,0.0006910242,0.00008666543,0.0001468155,0.004894284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07571706,"threshold_uncertainty_score":0.9996687,"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."}}