{"id":"W4400486413","doi":"10.3390/cancers16142505","title":"Point of Care Liquid Biopsy for Cancer Treatment—Early Experience from a Community Center","year":2024,"lang":"en","type":"article","venue":"Cancers","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; The Scarborough Hospital; University of Toronto; Thermo Fisher Scientific (Canada); William Osler Health System","funders":"Pfizer Canada; Thermo Scientific; Pfizer","keywords":"Liquid biopsy; Medicine; Biopsy; Turnaround time; Point of care; General surgery; Cancer; Medical physics; Radiology; Internal medicine; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002047509,0.000499401,0.0002305408,0.0007143503,0.001761938,0.001593158,0.001383306,0.0005720123,0.001722325],"category_scores_gemma":[0.006558795,0.0003266026,0.0002165581,0.001141176,0.0007708193,0.0006669994,0.00126772,0.0009220549,0.0004090493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004301511,"about_ca_system_score_gemma":0.00847653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1035329,"about_ca_topic_score_gemma":0.2666168,"domain_scores_codex":[0.9980946,0.0005324945,0.00008374018,0.0002391524,0.0006869914,0.0003629136],"domain_scores_gemma":[0.994888,0.0009440015,0.0005107438,0.0002834066,0.001557356,0.001816583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007101983,0.001526186,0.6381626,0.0003998751,0.0001011315,0.02449746,0.01290344,0.0007400382,0.009276252,0.0005094301,0.01294241,0.2982309],"study_design_scores_gemma":[0.0002011913,0.004447568,0.8073555,0.0008986293,0.0001451842,0.06958853,0.03707116,0.004619606,0.006970705,0.0006649898,0.06778134,0.000255614],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97771,0.004104899,0.004778019,0.002444641,0.00009465467,0.0004351763,0.0002201833,0.0001498167,0.01006268],"genre_scores_gemma":[0.9875631,0.002677673,0.007046243,0.001193288,0.0001142691,0.00005119716,0.0003714464,0.00006164753,0.0009211097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1035329,"threshold_uncertainty_score":0.2058604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01759632691840793,"score_gpt":0.2963265976097205,"score_spread":0.2787302706913125,"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."}}