{"id":"W4412154665","doi":"10.3390/cancers17142293","title":"Characteristics of Oligo-Recurrence and Treatment Selection in Non-Small Cell Lung Cancer","year":2025,"lang":"en","type":"review","venue":"Cancers","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto General Hospital; University Health Network","funders":"","keywords":"Lung cancer; Selection (genetic algorithm); Medicine; Oncology; Internal medicine; Biology; Computational biology; Computer science; Artificial intelligence","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":[0.0006565996,0.0004094949,0.001140796,0.001948398,0.0001523261,0.0006917416,0.0004826873,0.0004939385,0.001957934],"category_scores_gemma":[0.001699065,0.0001754301,0.0008560194,0.002125253,0.0002808226,0.0006241555,0.0002876384,0.0005967444,0.000385143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005783471,"about_ca_system_score_gemma":0.001109274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001460786,"about_ca_topic_score_gemma":0.004286602,"domain_scores_codex":[0.9996396,0.00009079626,0.0001167105,0.00005548454,0.00007964494,0.00001786526],"domain_scores_gemma":[0.9993002,0.0004614146,0.0001297758,0.000008675939,0.00008434095,0.0000156184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000201449,0.00004267134,0.001278896,0.08294877,0.000495904,0.000216354,0.0001007405,0.0003206978,0.0006782684,0.00148066,0.01052884,0.9017069],"study_design_scores_gemma":[0.000130832,0.0005186624,0.01544563,0.09057668,0.004242932,0.009323255,0.000356317,0.0003206327,0.001116572,0.002158504,0.8757349,0.0000751062],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002099375,0.9992086,0.00004022985,0.0001042341,0.00003746699,0.000006120432,0.00003317104,0.000001417597,0.0003589068],"genre_scores_gemma":[0.001923399,0.9976171,0.0001174204,0.0001160713,0.00004400099,0.000009586318,0.00005279318,6.695728e-7,0.0001188287],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001957934,"threshold_uncertainty_score":0.006549895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02243214611591704,"score_gpt":0.3387210852102129,"score_spread":0.3162889390942958,"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."}}