{"id":"W4308799128","doi":"10.1097/jxx.0000000000000793","title":"Personalized cancer care","year":2022,"lang":"en","type":"article","venue":"Journal of the American Association of Nurse Practitioners","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Precision medicine; Personalized medicine; Profiling (computer programming); Medicine; Germline; DNA sequencing; Human genome; Computational biology; Bioinformatics; Genome; Gene; Biology; Computer science; Genetics; Pathology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002203963,0.00005018299,0.0001269128,0.00003528588,0.0001105094,0.000008262604,0.0001625026,0.0000145112,0.00005829939],"category_scores_gemma":[0.0002948865,0.00004360169,0.0001698847,0.0001359062,0.00005169027,0.000004515211,0.0000420371,0.0001320218,3.725875e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000374715,"about_ca_system_score_gemma":0.0003286634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008035105,"about_ca_topic_score_gemma":0.00001977392,"domain_scores_codex":[0.9992311,0.0001355344,0.0001944715,0.00006222976,0.0002984791,0.00007816362],"domain_scores_gemma":[0.9976929,0.00004458166,0.001859518,0.00009771059,0.0002771735,0.00002805472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001591875,0.0004480174,0.2015379,0.00002377675,0.001245928,0.000005269821,0.003268123,0.03127828,0.395347,0.0004641182,0.3546492,0.01014049],"study_design_scores_gemma":[0.001686286,0.0008568792,0.04795076,0.00001679589,0.0002798009,0.00003985605,0.01945196,0.0000232202,0.01755142,0.00009319486,0.911853,0.0001968455],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899864,0.0007975342,0.00005262259,0.007461939,0.0007784833,0.00006800724,0.0001423169,0.000001262076,0.0007114746],"genre_scores_gemma":[0.9972283,0.0005813268,0.0002024053,0.001068719,0.0002228316,0.000008143636,0.00001016829,0.000009126372,0.0006689693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5572038,"threshold_uncertainty_score":0.1778025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005463069000507419,"score_gpt":0.2777636819536068,"score_spread":0.2723006129530994,"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."}}