{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009311563,0.0001249132,0.0001530179,0.0002431264,0.0004446865,0.0005788154,0.0002141643,0.0004130137,0.006486889],"category_scores_gemma":[0.004083316,0.000137718,0.0002211094,0.0002779509,0.0002598366,0.000445513,0.0003112852,0.0004241261,0.000327934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001052248,"about_ca_system_score_gemma":0.0006804535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01210077,"about_ca_topic_score_gemma":0.01618974,"domain_scores_codex":[0.9995394,0.000198433,0.00003585389,0.00005774873,0.00007581964,0.00009286684],"domain_scores_gemma":[0.9965,0.001243061,0.001121517,0.0000567599,0.0001811407,0.0008975292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006844132,0.0003085077,0.9794988,0.00005827284,0.00004785752,0.0005017405,0.003062401,0.0004529659,0.0009195568,0.00004305942,0.002938918,0.0114835],"study_design_scores_gemma":[0.00006272137,0.001383985,0.9891239,0.00005667739,0.00003410557,0.0006146593,0.005404513,0.001749584,0.0004339276,0.00005825271,0.001049598,0.00002810938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991978,0.00004375149,0.00002485428,0.0001946406,9.630555e-7,0.000007472543,0.00009185563,0.000002367099,0.0004363619],"genre_scores_gemma":[0.9995362,0.00003548328,0.00007962917,0.0001003623,0.000001807521,0.0000115287,0.00006276268,8.363318e-7,0.0001714687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01210077,"threshold_uncertainty_score":0.02406073,"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."}}