{"id":"W4412154199","doi":"10.1007/978-3-031-88213-5_13","title":"Trade-offs and Progress in Cancer Science","year":2025,"lang":"en","type":"book-chapter","venue":"Synthese Library/Synthese library","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001485999,0.0007547587,0.0007013081,0.000604202,0.0001623211,0.0004399747,0.001163526,0.0006939809,0.000638222],"category_scores_gemma":[0.00008643304,0.0007475191,0.0002135134,0.0002391048,0.001282229,0.0001605065,0.001560445,0.0005096797,0.00001383917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003420604,"about_ca_system_score_gemma":0.00181429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001501929,"about_ca_topic_score_gemma":0.00001384417,"domain_scores_codex":[0.9967705,0.00004631045,0.0006204611,0.001495217,0.000345317,0.0007221918],"domain_scores_gemma":[0.9981027,0.0002040811,0.0002564969,0.001069057,0.00001767746,0.0003499654],"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":[0.001539109,0.0005293019,0.025387,0.001757752,0.0007187763,0.0006623593,0.0005028018,0.00003161283,0.007681525,0.3319522,0.1365277,0.4927099],"study_design_scores_gemma":[0.000407039,0.0001662467,0.001401125,0.001357016,0.00007828695,0.00002251786,0.00003384742,0.0000765613,0.03658733,0.006543534,0.9522103,0.00111616],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02217261,0.0854441,0.000007749644,0.01008004,0.001103694,0.001556773,0.00235529,0.0002162009,0.8770636],"genre_scores_gemma":[0.3009631,0.08156616,0.003138045,0.006276238,0.002859166,0.0005596753,0.000848955,0.0008111377,0.6029775],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8156826,"threshold_uncertainty_score":0.9994976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008534342984804983,"score_gpt":0.2317888586461519,"score_spread":0.2232545156613469,"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."}}