{"id":"W1595203599","doi":"10.1002/cncy.21395","title":"Growing indication for FNA to study and analyze tumor heterogeneity at metastatic sites","year":2014,"lang":"en","type":"article","venue":"Cancer Cytopathology","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Medicine; Fine-needle aspiration; Primary tumor; Biopsy; Cancer; Disease; Metastatic tumor; Metastasis; Tumor heterogeneity; Pathology; Cytopathology; Cytology; Radiology; Internal medicine","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":[0.003362911,0.0004874295,0.0008456245,0.001512691,0.0004293953,0.0009802992,0.0008457755,0.001586988,0.01061837],"category_scores_gemma":[0.005594926,0.0003071844,0.0007548684,0.0008350382,0.0007949277,0.001200578,0.0006660456,0.001553666,0.005053348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007370784,"about_ca_system_score_gemma":0.0007676358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001565828,"about_ca_topic_score_gemma":0.002752035,"domain_scores_codex":[0.9983809,0.0004031263,0.0001130183,0.0003009795,0.00068593,0.0001159944],"domain_scores_gemma":[0.9907749,0.004667866,0.0009403445,0.0007088227,0.001934959,0.0009730404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001035538,0.0001467401,0.09317666,0.002269265,0.0001700445,0.005746694,0.0001878873,0.0005612836,0.08022175,0.003423846,0.04285296,0.7702075],"study_design_scores_gemma":[0.0001651812,0.001429891,0.2437213,0.002364081,0.000418596,0.1334916,0.0006861049,0.003638627,0.02480505,0.007752136,0.5813757,0.0001517194],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1320403,0.6393457,0.06841773,0.06916375,0.006620904,0.0004261597,0.002341039,0.001863964,0.07978058],"genre_scores_gemma":[0.6164637,0.2227423,0.09174275,0.0351562,0.01001316,0.0004017701,0.00387461,0.0006923344,0.01891324],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01061837,"threshold_uncertainty_score":0.03552192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03040068205154901,"score_gpt":0.3839935271833473,"score_spread":0.3535928451317983,"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."}}