{"id":"W2329688698","doi":"10.1097/01.cot.0000415257.78521.3c","title":"Greater Node Sampling Urged in Lung Surgery","year":2012,"lang":"en","type":"article","venue":"Oncology Times","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sampling (signal processing); Medicine; General surgery; Surgery; Computer science; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01047373,0.0002599201,0.0004563625,0.001063385,0.001715521,0.002575057,0.000792128,0.003222856,0.01464498],"category_scores_gemma":[0.02464928,0.0003696395,0.0007396371,0.0004738613,0.002998969,0.002843887,0.001726927,0.008497665,0.002167356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00186815,"about_ca_system_score_gemma":0.004117955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002221329,"about_ca_topic_score_gemma":0.01079344,"domain_scores_codex":[0.9960334,0.001379221,0.0003848319,0.0004382333,0.001345255,0.0004190918],"domain_scores_gemma":[0.9778797,0.01213919,0.001315952,0.001669955,0.002302562,0.004692658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003816908,0.0002292482,0.02094394,0.0009596731,0.00009749229,0.003984314,0.001685116,0.0009693773,0.003510938,0.02916497,0.7014276,0.2366456],"study_design_scores_gemma":[0.0001832563,0.0006246791,0.03260183,0.002429778,0.00007536812,0.02400589,0.002690169,0.0008706248,0.001036616,0.0358579,0.8994845,0.0001393462],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.04097822,0.0440104,0.01439335,0.7399638,0.05835495,0.0001629042,0.0002242092,0.0007819633,0.1011303],"genre_scores_gemma":[0.3234498,0.02960666,0.02013138,0.5049441,0.1035116,0.0002059304,0.0003767562,0.0004312537,0.01734255],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01464498,"threshold_uncertainty_score":0.05539101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04451521501501041,"score_gpt":0.3481206490495509,"score_spread":0.3036054340345404,"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."}}