{"id":"W3214975800","doi":"10.3390/genes12121900","title":"Epithelial–Mesenchymal Transition Signaling and Prostate Cancer Stem Cells: Emerging Biomarkers and Opportunities for Precision Therapeutics","year":2021,"lang":"en","type":"review","venue":"Genes","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Epithelial–mesenchymal transition; Prostate cancer; Mesenchymal stem cell; Cancer research; Signal transduction; Cancer; Stem cell; Biology; Cancer stem cell; Cell biology; Computational biology; Metastasis; Genetics","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":[0.0003176029,0.0003106762,0.001069559,0.0001425139,0.0001154115,0.00005904117,0.00003791071,0.0001449976,0.00002977878],"category_scores_gemma":[0.000001798826,0.0002399747,0.0002447651,0.00009923722,0.00007887823,0.00005198677,0.00002717577,0.0001016329,2.52132e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004985001,"about_ca_system_score_gemma":0.0003697815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003142884,"about_ca_topic_score_gemma":0.00001085596,"domain_scores_codex":[0.9986918,0.00009113632,0.0004116203,0.000404012,0.0001669516,0.000234498],"domain_scores_gemma":[0.9993269,0.000111527,0.0001800939,0.0001555846,0.0001116734,0.000114172],"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":[0.00004964318,0.00001503162,7.279309e-7,0.02016958,0.0005240745,0.00001891548,0.0004728895,0.000001717115,0.00112227,0.0000039609,0.0000815993,0.9775396],"study_design_scores_gemma":[0.0004904941,0.0001008829,2.474979e-7,0.01147077,0.003776731,0.00005186701,0.001015002,0.00003986413,0.002752768,0.000005758376,0.9800455,0.0002501228],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008853746,0.996246,0.0003582893,0.0002922444,0.0003825483,0.001225408,0.0005719432,0.00002213184,0.00001602768],"genre_scores_gemma":[0.00003604947,0.9976922,0.0007612814,0.0001259588,0.0002749526,0.0002545108,0.0001204072,0.00006446023,0.0006702297],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9799639,"threshold_uncertainty_score":0.9785885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1653344190268793,"score_gpt":0.3656401565589403,"score_spread":0.200305737532061,"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."}}