{"id":"W3206759030","doi":"10.1055/s-0041-1733355","title":"V-108 Neoadjuvant prehabilitation therapy for locally advanced non-small-cell lung cancer: Optimizing outcomes throughout the trajectory of care","year":2021,"lang":"de","type":"article","venue":"Zentralblatt für Chirurgie - Zeitschrift für Allgemeine, Viszeral-, Thorax- und Gefäßchirurgie","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Prehabilitation; Medicine; Lung cancer; Trajectory; Neoadjuvant therapy; Intensive care medicine; Oncology; Physical therapy; Cancer; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001125443,0.002914945,0.004406398,0.0005372618,0.001358055,0.0005489227,0.001665789,0.00112751,0.0007659386],"category_scores_gemma":[0.0003834088,0.002258739,0.003528169,0.001682482,0.0007555831,0.0008820985,0.0005366085,0.001731477,0.00008022236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008326328,"about_ca_system_score_gemma":0.004793438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001128351,"about_ca_topic_score_gemma":0.0009310326,"domain_scores_codex":[0.9863017,0.0008444927,0.003867931,0.003491984,0.002059782,0.003434067],"domain_scores_gemma":[0.9878796,0.002785125,0.002172712,0.003708951,0.002344191,0.0011094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0191356,0.02211293,0.3266715,0.03780013,0.05580571,0.001184413,0.0684916,0.2038575,0.02373608,0.007869497,0.03461277,0.1987222],"study_design_scores_gemma":[0.1120526,0.01214921,0.1622246,0.01986148,0.03647301,0.00005051338,0.01654464,0.01819391,0.1689332,0.0003425436,0.4442753,0.008899016],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3023225,0.6462608,0.005255953,0.01273517,0.01004379,0.01649763,0.00269953,0.0004943872,0.003690193],"genre_scores_gemma":[0.7824197,0.1811864,0.01721337,0.003729069,0.003262415,0.004640547,0.003819447,0.001050283,0.002678745],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4800972,"threshold_uncertainty_score":0.9999421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437017408698163,"score_gpt":0.3485713594206107,"score_spread":0.3342011853336291,"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."}}