{"id":"W4386032560","doi":"10.3390/curroncol30080563","title":"Surgery for Non-Small Cell Lung Cancer in the Personalized Therapy Era","year":2023,"lang":"en","type":"editorial","venue":"Current Oncology","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Personalized medicine; Lung cancer; Cancer therapy; Bioinformatics; Surgery; Oncology; Internal medicine; Cancer; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.005687692,0.002296746,0.002440909,0.002013945,0.002151339,0.004339363,0.002484748,0.009795783,0.0127694],"category_scores_gemma":[0.01467728,0.0008049779,0.002176487,0.000982789,0.001832069,0.005108363,0.001297043,0.01697126,0.01097527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002438832,"about_ca_system_score_gemma":0.003205255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001798404,"about_ca_topic_score_gemma":0.005117794,"domain_scores_codex":[0.99694,0.0007656483,0.0003508498,0.0002773607,0.001472868,0.000193331],"domain_scores_gemma":[0.9871143,0.006416025,0.000663326,0.0002759786,0.003864194,0.001666254],"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":[0.00004218702,0.00001061555,0.00001949749,0.0003493356,0.0000174802,0.00006133225,0.00001091231,0.00002238383,0.00004256248,0.0004315322,0.9857315,0.01326053],"study_design_scores_gemma":[0.00005961599,0.00003792514,0.0001905477,0.0007529167,0.00004990484,0.0002224075,0.00002738177,0.00007844195,0.00005504825,0.001163753,0.9973477,0.00001438131],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00004466775,0.02935431,0.0001620582,0.0398519,0.9273727,0.00002968004,0.00006850143,0.00007840003,0.00303773],"genre_scores_gemma":[0.0003223269,0.01702276,0.00009531512,0.02080187,0.9563237,0.00001731728,0.00003507026,0.00003002718,0.005351462],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.0127694,"threshold_uncertainty_score":0.04271787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08137734530640739,"score_gpt":0.4280056471643662,"score_spread":0.3466283018579588,"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."}}