{"id":"W4319758837","doi":"10.1016/j.cllc.2023.02.003","title":"Brief Report: Clinical Outcomes Using Plasma-Based Molecular Profiling to Guide Treatment Decisions in Patients With Advanced NSCLC and Limited Access to Broad Tissue Testing","year":2023,"lang":"en","type":"article","venue":"Clinical Lung Cancer","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Medicine; Liquid biopsy; Precision medicine; ROS1; Targeted therapy; Genotyping; Oncology; Profiling (computer programming); Biopsy; Companion diagnostic; Internal medicine; Bioinformatics; Intensive care medicine; Pathology; Cancer; Gene; Adenocarcinoma; Genotype","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":[0.001969231,0.0003818938,0.0004849732,0.0003806044,0.0003778601,0.001377528,0.0003237379,0.001348481,0.00421147],"category_scores_gemma":[0.008748299,0.0001086411,0.0004858581,0.0006071216,0.0002653542,0.0006761627,0.0005398626,0.001584379,0.00189713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007599946,"about_ca_system_score_gemma":0.0008621398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009893922,"about_ca_topic_score_gemma":0.001876065,"domain_scores_codex":[0.9991239,0.000260193,0.0001081489,0.000144316,0.0002281383,0.0001354142],"domain_scores_gemma":[0.9938268,0.0022946,0.0009292145,0.0002834109,0.001583867,0.001082048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.005444635,0.000698633,0.3266596,0.0007846717,0.0004373546,0.00440777,0.0002033359,0.001244785,0.002335503,0.0008873625,0.3514861,0.3054101],"study_design_scores_gemma":[0.00126902,0.008908593,0.6882873,0.001308731,0.001311437,0.02132694,0.0008841183,0.005090429,0.00559748,0.005698379,0.2600497,0.0002678739],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5224586,0.02853888,0.0111983,0.270723,0.03887265,0.001426665,0.03607585,0.001090243,0.08961583],"genre_scores_gemma":[0.8884048,0.01063052,0.006011932,0.03416767,0.03130639,0.0004415605,0.01631983,0.0001792554,0.01253801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00421147,"threshold_uncertainty_score":0.01408875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09745426049707119,"score_gpt":0.5102924480330977,"score_spread":0.4128381875360265,"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."}}