{"id":"W4415641906","doi":"10.1016/j.athoracsur.2025.09.051","title":"Neoadjuvant Chemotherapy-Immunotherapy in Non-Small Cell Lung Cancer: Can Positron Emission Tomography Scan Predict Complete Pathologic Response?","year":2025,"lang":"en","type":"article","venue":"The Annals of Thoracic Surgery","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Héma-Québec; Jewish General Hospital; HEC Montréal; Centre Hospitalier de l’Université de Montréal; McGill University","funders":"Institut Du Cancer de Montréal; McGill University Health Centre","keywords":"Positron emission tomography; Positron Emission Tomography-Computed Tomography; Standardized uptake value; Lung; Computed tomography; Biomarker; Positron emission; Tomography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001574758,0.0004976341,0.001024075,0.0005450958,0.0002249504,0.001018038,0.0004614134,0.001181216,0.001890285],"category_scores_gemma":[0.006685557,0.0002961039,0.0004895526,0.0005250953,0.0005998473,0.00129573,0.0002846371,0.0009292202,0.0007062932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004469732,"about_ca_system_score_gemma":0.0005831042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008146942,"about_ca_topic_score_gemma":0.002605292,"domain_scores_codex":[0.9995996,0.0001533041,0.00007055276,0.00003865195,0.00006803154,0.00006985293],"domain_scores_gemma":[0.9978086,0.001309756,0.0002851637,0.0001059772,0.0002939254,0.0001966291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003277598,0.0002330929,0.8236775,0.0003500988,0.0002290442,0.001924781,0.00006759843,0.001475298,0.004845984,0.0003441415,0.004901328,0.1586735],"study_design_scores_gemma":[0.0003926721,0.003266493,0.9289493,0.0006687783,0.001304581,0.01442388,0.001014976,0.01394931,0.007746032,0.003579117,0.02462364,0.00008123731],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.866772,0.09220557,0.002893355,0.01779984,0.001031405,0.0001430451,0.0006948367,0.0001027822,0.01835723],"genre_scores_gemma":[0.9823256,0.01278662,0.001259435,0.001089622,0.000744473,0.00005617442,0.0005691062,0.0000154767,0.001153442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001890285,"threshold_uncertainty_score":0.008328199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03652515988634752,"score_gpt":0.3547762490168496,"score_spread":0.318251089130502,"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."}}