{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003295347,0.0005579173,0.0004010012,0.001731424,0.0001354935,0.00236922,0.0007227489,0.0003959466,0.003433385],"category_scores_gemma":[0.007554027,0.0002014301,0.0006756493,0.002928115,0.0006662408,0.001775188,0.0009729989,0.0006086822,0.0004080377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004174752,"about_ca_system_score_gemma":0.001962427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01060142,"about_ca_topic_score_gemma":0.00896752,"domain_scores_codex":[0.9968151,0.001596414,0.0001443101,0.0002510523,0.001059782,0.0001334087],"domain_scores_gemma":[0.9953113,0.002676321,0.0007298047,0.0002873954,0.0008033849,0.0001918205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004403522,0.00009434347,0.04139575,0.001656924,0.000416501,0.000331688,0.0002025941,0.06082626,0.002408414,0.03214649,0.01107064,0.8490101],"study_design_scores_gemma":[0.0002024073,0.002183051,0.2400053,0.006415776,0.0009168055,0.003734439,0.003130926,0.2884727,0.01713967,0.1597094,0.2776749,0.0004146273],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4244415,0.1695862,0.30117,0.02422648,0.001340515,0.0009566062,0.00694887,0.0004639953,0.07086577],"genre_scores_gemma":[0.892883,0.02873048,0.07214162,0.0007875945,0.0002562277,0.0002483774,0.001162433,0.0001480903,0.003642296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01060142,"threshold_uncertainty_score":0.03029013,"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."}}