{"id":"W4310941456","doi":"10.1073/pnas.2115328119","title":"Noninvasive detection of any-stage cancer using free glycosaminoglycans","year":2022,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Sahlgrenska Akademin; University of Texas MD Anderson Cancer Center; Uppsala Universitet; Faculty of Health and Medical Sciences, University of Western Australia; Lunds Universitet; University of California, San Diego; Knut och Alice Wallenbergs Stiftelse; Göteborgs Universitet; Karolinska Institutet; IngaBritt och Arne Lundbergs Forskningsstiftelse; Sahlgrenska Universitetssjukhuset; Det Sundhedsvidenskabelige Fakultet, Københavns Universitet; Akademiska Sjukhuset; Università Degli Studi di Modena e Reggio Emila","keywords":"Glycosaminoglycan; Stage (stratigraphy); Cancer; Cancer detection; Medicine; Biology; Internal medicine; Anatomy","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":[0.001044501,0.0006799501,0.00054431,0.0007907991,0.0001700995,0.000966037,0.0002408031,0.0004785588,0.001198252],"category_scores_gemma":[0.001889798,0.0002137876,0.0005537339,0.0004841762,0.0002989148,0.0003936512,0.0003904797,0.0004476752,0.0003985496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002796105,"about_ca_system_score_gemma":0.0002788781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001316034,"about_ca_topic_score_gemma":0.002708237,"domain_scores_codex":[0.9994996,0.0001652324,0.00002926863,0.0001355951,0.0001288624,0.00004132438],"domain_scores_gemma":[0.9991666,0.0004299394,0.0001736933,0.00007592563,0.0000983976,0.00005550316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001322152,0.0004468914,0.6364704,0.0003458164,0.0006273674,0.000310884,0.0001404334,0.008560634,0.1916424,0.0006098872,0.001106784,0.1584164],"study_design_scores_gemma":[0.00005751517,0.00192972,0.6646836,0.0001208811,0.0004976239,0.001560447,0.0002616321,0.1243002,0.1980287,0.002488376,0.005970812,0.0001004871],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9485925,0.003441652,0.04269293,0.0003263747,0.00007048788,0.00007695155,0.001310288,0.0003854228,0.003103364],"genre_scores_gemma":[0.9829323,0.001050538,0.01411836,0.0001150293,0.00002645289,0.00003727418,0.0005806143,0.00001707057,0.001122352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001316034,"threshold_uncertainty_score":0.00552392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03675622523821375,"score_gpt":0.3032477887290327,"score_spread":0.2664915634908189,"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."}}