{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001817721,0.0005268239,0.0004519486,0.0009104442,0.0009898744,0.002883793,0.001101333,0.002303615,0.07245544],"category_scores_gemma":[0.007257987,0.0001800951,0.0007107909,0.0007940431,0.0006841153,0.001810847,0.003688252,0.003762487,0.02196767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002139437,"about_ca_system_score_gemma":0.003174908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001956358,"about_ca_topic_score_gemma":0.003679455,"domain_scores_codex":[0.9985834,0.0005186709,0.00007999117,0.0002550838,0.0003956174,0.0001672768],"domain_scores_gemma":[0.9983644,0.0003514909,0.0001546692,0.0003025083,0.0003801442,0.0004467397],"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":[0.00008965671,0.0001496122,0.00625497,0.0004162879,0.0001017823,0.0005034834,0.0003636285,0.0008476369,0.0007542769,0.03646348,0.5925406,0.3615146],"study_design_scores_gemma":[0.00006268914,0.00007586239,0.003999542,0.000916654,0.00006321782,0.001518557,0.0002875248,0.0006344029,0.0005648974,0.03541067,0.9564407,0.00002516282],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.01129325,0.03782499,0.05428166,0.4251794,0.008966043,0.0005183993,0.006119163,0.002448138,0.4533689],"genre_scores_gemma":[0.3430966,0.06978967,0.07091185,0.2321305,0.01546699,0.0009196991,0.01312019,0.001040522,0.2535241],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.07245544,"threshold_uncertainty_score":0.2423876,"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."}}