{"id":"W4389357021","doi":"10.20944/preprints202312.0263.v1","title":"Cancer‐Associated Fibroblast Heterogeneity in Oral Cancer","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Occupational Cancer Research Centre","funders":"Canadian Institutes of Health Research; Svenska Läkaresällskapet; Karolinska Institutet; Michael Smith Health Research BC; Sweden-America Foundation; Royal Swedish Academy of Sciences","keywords":"Tumor microenvironment; Cancer-Associated Fibroblasts; Cancer; Disease; Metastasis; Cancer research; Cancer cell; Biology; Tumor progression; Phenotype; Basal cell; Medicine; Tumor cells; Pathology; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003266671,0.0001751353,0.0002725244,0.001074055,0.0002332103,0.0006182751,0.0001296543,0.0002998338,0.001186735],"category_scores_gemma":[0.0002736619,0.00008762257,0.0002213877,0.0007264686,0.0001842585,0.0003530096,0.0002680123,0.0002187825,0.0003775148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000278414,"about_ca_system_score_gemma":0.0002607452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007582205,"about_ca_topic_score_gemma":0.0009544466,"domain_scores_codex":[0.9998519,0.0000239931,0.00001520873,0.00003589467,0.00004864605,0.00002420264],"domain_scores_gemma":[0.999903,0.00002368404,0.00002279554,0.000006555668,0.00002685272,0.00001717779],"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":[0.001035873,0.00006227809,0.04080245,0.004546433,0.0001945004,0.008152184,0.001288729,0.0006724519,0.6159364,0.007922574,0.007411974,0.3119742],"study_design_scores_gemma":[0.00008810205,0.0006876785,0.2877246,0.001569791,0.0006896567,0.07306473,0.003657261,0.001628792,0.1817316,0.01708866,0.4318951,0.0001739987],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5153674,0.4555795,0.006789297,0.00152874,0.0004052474,0.00009856113,0.002090079,0.0001616543,0.01797949],"genre_scores_gemma":[0.8363789,0.1532434,0.003128916,0.0003603073,0.0002924275,0.00006423756,0.001579278,0.00003113511,0.004921309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001186735,"threshold_uncertainty_score":0.003970027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1048592780609399,"score_gpt":0.369812489614141,"score_spread":0.2649532115532011,"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."}}