{"id":"W2398299356","doi":"10.5858/arpa.2016-0163-sa","title":"Liquid Biopsy in Lung Cancer: A Perspective From Members of the Pulmonary Pathology Society","year":2016,"lang":"en","type":"article","venue":"Archives of Pathology & Laboratory Medicine","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Liquid biopsy; Biopsy; Circulating tumor cell; Medicine; Lung cancer; Pathology; Cancer; Population; Internal medicine; Metastasis","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":[0.0001803875,0.000156439,0.000325011,0.00005241921,0.00003248114,6.828944e-7,0.0003010401,0.0001402391,0.00004773769],"category_scores_gemma":[0.000333246,0.00009714934,0.0001042258,0.000144928,0.00148321,0.000003103438,0.000204046,0.0001136139,3.19135e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000319729,"about_ca_system_score_gemma":0.0003153466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003693966,"about_ca_topic_score_gemma":0.0003399412,"domain_scores_codex":[0.9988007,0.000177885,0.0003314496,0.00038097,0.00009213945,0.0002168803],"domain_scores_gemma":[0.9989108,0.0002210622,0.0002342979,0.0004747773,0.0001040091,0.0000549811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002834862,0.00006246615,0.05665381,0.00001924001,0.00006124949,0.00004261808,0.00161862,0.00001219846,0.9398469,0.0004724102,0.0003521301,0.0005748869],"study_design_scores_gemma":[0.004985117,0.001434643,0.4405199,0.0006751327,0.0002536534,0.00006390861,0.004351411,0.00007600251,0.5405701,0.002439197,0.004127936,0.0005029764],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846683,0.01070595,0.0002272697,0.002620319,0.0003540198,0.000171937,0.0005890381,0.00000418425,0.0006589542],"genre_scores_gemma":[0.9935877,0.005154073,0.0003469039,0.0005572901,0.0002472619,0.00003202951,0.00001792562,0.0000185604,0.00003819518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3992768,"threshold_uncertainty_score":0.546495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005241519899350615,"score_gpt":0.2550777985938253,"score_spread":0.2498362786944747,"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."}}