{"id":"W4402689973","doi":"10.1515/cclm-2024-1013","title":"The Unholy Grail of cancer screening: or is it just about the Benjamins?","year":2024,"lang":"en","type":"article","venue":"Clinical Chemistry and Laboratory Medicine (CCLM)","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital; University Health Network; University of Toronto","funders":"","keywords":"Holy Grail; Test (biology); Clinical trial; Perspective (graphical); Medicine; Pillar; Business; Computer science; Internal medicine; Engineering; Artificial intelligence; World Wide Web; Biology","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":[0.02265164,0.0009179648,0.001639255,0.001337062,0.003269787,0.009945058,0.002615215,0.01290548,0.01055424],"category_scores_gemma":[0.07939169,0.0005427294,0.001270421,0.001151441,0.02252238,0.01842575,0.003511342,0.0238288,0.007540815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004214753,"about_ca_system_score_gemma":0.005076136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008479432,"about_ca_topic_score_gemma":0.0116703,"domain_scores_codex":[0.9838495,0.006794315,0.0009171954,0.001673847,0.005822336,0.0009427742],"domain_scores_gemma":[0.9495511,0.03109138,0.002673793,0.002208699,0.01063153,0.00384345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002166967,0.00004294733,0.001138173,0.000871318,0.00006939307,0.0004679588,0.002472642,0.000110504,0.000874075,0.05678596,0.8050914,0.1318589],"study_design_scores_gemma":[0.00003398241,0.0001163519,0.0005579201,0.001204847,0.00003353734,0.0009707928,0.002140145,0.0001530219,0.0006133213,0.04886738,0.9452037,0.0001050895],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000323812,0.03279024,0.001433099,0.9409522,0.02097926,0.000009244246,0.00004186462,0.00005181279,0.003418387],"genre_scores_gemma":[0.01907808,0.07052262,0.004304857,0.8394769,0.04864428,0.00004439169,0.00007713917,0.000350832,0.01750094],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02265164,"threshold_uncertainty_score":0.1197948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07272480697525008,"score_gpt":0.4076169927868333,"score_spread":0.3348921858115833,"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."}}