{"id":"W2981792701","doi":"10.1101/19009969","title":"Micro-costing Diagnostics in Oncology: From Single-Gene Testing to Whole Genome Sequencing","year":2019,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research","funders":"ZonMw","keywords":"Activity-based costing; Medicine; Cost driver; Total cost; Cancer; Oncology; Medical physics; Internal medicine; Business","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004539417,0.0004703958,0.0005890616,0.0001657629,0.00007094659,0.000108549,0.0006799683,0.0006762668,0.00001114976],"category_scores_gemma":[0.003275995,0.0005558486,0.0001361473,0.0001923214,0.00005564705,0.000002948103,0.001923034,0.0006081886,0.00009738497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005685281,"about_ca_system_score_gemma":0.0008853402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000863273,"about_ca_topic_score_gemma":0.0007891614,"domain_scores_codex":[0.9972378,0.0001047877,0.0006721232,0.001186059,0.0001823708,0.0006168752],"domain_scores_gemma":[0.9977597,0.000491192,0.0003293871,0.000995302,0.0002051305,0.0002193019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003509623,0.00007385255,0.07696092,0.00004913941,0.00004844191,0.00007769305,0.0002398162,0.02482572,0.8951478,0.000001147208,0.000270659,0.002269681],"study_design_scores_gemma":[0.002116387,0.001218731,0.08409395,0.001037456,0.0002241315,0.00004090168,0.000391371,0.001512571,0.7717436,0.0007289581,0.1340998,0.002792123],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899057,0.003655077,0.001921621,0.0003192349,0.001369931,0.0006976194,0.001079001,0.0000284429,0.001023379],"genre_scores_gemma":[0.9639488,0.0005323614,0.03035428,0.001514583,0.001537308,0.0001046841,0.001759001,0.00012736,0.0001216095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1338291,"threshold_uncertainty_score":0.9996893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04067975820286853,"score_gpt":0.2718569602907443,"score_spread":0.2311772020878758,"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."}}