{"id":"W7115039004","doi":"","title":"Predictive models and biomarkers for early stage and oligometastatic non-small cell lung cancer patients treated with stereotactic body radiation therapy, using machine learning","year":2024,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Jewish General Hospital","keywords":"Stage (stratigraphy); Lung cancer; Radiation therapy; SABR volatility model; Cancer","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001227831,0.0006127511,0.000534282,0.002248032,0.000225354,0.001124033,0.0004022018,0.0004368405,0.0009295009],"category_scores_gemma":[0.004907319,0.0002089925,0.0008559198,0.001143585,0.0001640446,0.0005417063,0.0004425744,0.0006556788,0.0003211394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005651146,"about_ca_system_score_gemma":0.0006264729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003344842,"about_ca_topic_score_gemma":0.003405359,"domain_scores_codex":[0.9995883,0.0001346908,0.00005229888,0.00009596768,0.00007656072,0.00005205475],"domain_scores_gemma":[0.9981912,0.0009858306,0.0004068801,0.0000953955,0.0002100003,0.0001107667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003892463,0.0001718743,0.9494086,0.00004770853,0.0001589285,0.00018722,0.00005038578,0.0190017,0.0006697186,0.0001226124,0.0008225332,0.02896944],"study_design_scores_gemma":[0.00005743506,0.0005706378,0.5182931,0.00006960965,0.0004103624,0.0006636675,0.0003806954,0.4740511,0.002249164,0.001444629,0.001769517,0.00003998856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986953,0.0009837657,0.009023515,0.0003814536,0.0000437435,0.00007489932,0.001613277,0.0001060772,0.0008202921],"genre_scores_gemma":[0.9962444,0.0001771298,0.002049901,0.00002102144,0.00002237277,0.00002669266,0.001292427,0.000005145575,0.0001609453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003344842,"threshold_uncertainty_score":0.006650746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01237581938600766,"score_gpt":0.2683087387448232,"score_spread":0.2559329193588156,"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."}}