{"id":"W3005584727","doi":"10.2147/cmar.s235777","title":"<p>Cancer Patient-Reported Preferences and Knowledge for Liquid Biopsies and Blood Biomarkers at a Comprehensive Cancer Center</p>","year":2020,"lang":"en","type":"article","venue":"Cancer Management and Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Public Health Ontario; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Cancer; Center (category theory); Liquid biopsy; Internal medicine; Oncology; Chemistry","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":[0.0001360895,0.000231248,0.0002443445,0.0001019783,0.0003154184,0.0001047931,0.0001543179,0.0001150713,0.00004151637],"category_scores_gemma":[0.00003570087,0.0002066348,0.00005249411,0.0001929482,0.000402863,0.000009918545,0.0008868197,0.00008841894,9.350991e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004413475,"about_ca_system_score_gemma":0.000109837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009874338,"about_ca_topic_score_gemma":0.0007594406,"domain_scores_codex":[0.9982736,0.00005889058,0.0002510718,0.0007452675,0.0002014333,0.0004697955],"domain_scores_gemma":[0.9991081,0.00006213521,0.00009092579,0.0001991702,0.0002826122,0.0002570802],"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":[0.006664481,0.0003650034,0.03962348,0.003866296,0.00431251,0.00004935324,0.00276099,0.00006972114,0.6570341,0.000761773,0.1425186,0.1419737],"study_design_scores_gemma":[0.003819391,0.001468476,0.01055757,0.0002294427,0.0002570498,0.000004742084,0.0004714099,0.0003991875,0.04505814,0.00006847285,0.9371543,0.0005118054],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8978977,0.0982198,0.00001720005,0.001438453,0.0002032252,0.0009586871,0.0003268496,0.00001224979,0.0009258499],"genre_scores_gemma":[0.8232038,0.1743749,0.0001055704,0.000336574,0.0002969973,0.0007748402,0.00008703858,0.00003237038,0.0007879086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7946357,"threshold_uncertainty_score":0.8426324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05742300231260812,"score_gpt":0.3350469271272264,"score_spread":0.2776239248146183,"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."}}