{"id":"W4295257029","doi":"10.1016/j.jaad.2022.06.763","title":"34783 Metagenomic microbial profiling of keratinocyte carcinomas in solid organ transplant recipients","year":2022,"lang":"en","type":"article","venue":"Journal of the American Academy of Dermatology","topic":"Nonmelanoma Skin Cancer Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Dysbiosis; Medicine; Microbiome; Immunosuppression; Immunology; Metagenomics; Transplantation; Skin cancer; Malignancy; Gut flora; Organ transplantation; Immune system; Atopic dermatitis; Cancer; Biology; Pathology; Bioinformatics; 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":[0.0002921589,0.0001491249,0.001174222,0.0003195723,0.00007664842,0.000001755917,0.0004419463,0.0000411964,0.00003113016],"category_scores_gemma":[0.00005171336,0.0001115674,0.0002490872,0.0004375648,0.0004531071,0.00004126208,0.0001749607,0.0008436411,7.545316e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001855855,"about_ca_system_score_gemma":0.0002278958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003842311,"about_ca_topic_score_gemma":0.000003785883,"domain_scores_codex":[0.9978213,0.0003697211,0.001073802,0.0001473215,0.0003261359,0.0002617488],"domain_scores_gemma":[0.9978673,0.0001299509,0.001762213,0.000134624,0.00004762046,0.00005830859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001344087,0.0001412367,0.7104746,0.00007255517,0.0003948539,0.0001355675,0.001472806,0.0001348726,0.2848464,0.00003812039,0.0004244383,0.0005204411],"study_design_scores_gemma":[0.002761298,0.0004324081,0.5457798,0.0001272934,0.0003944094,0.0141972,0.0009714328,0.00004877085,0.4341577,0.00006964308,0.0009244247,0.000135641],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906638,0.001268938,0.00002149648,0.007481053,0.0002399735,0.0002182685,0.00003086164,0.000002798912,0.00007276228],"genre_scores_gemma":[0.9973536,0.0002504227,0.001533774,0.0007376582,0.00006403334,0.000006004247,9.891996e-7,0.00002043454,0.00003314303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1646948,"threshold_uncertainty_score":0.4549587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02013920482009409,"score_gpt":0.3040010651684963,"score_spread":0.2838618603484022,"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."}}