{"id":"W4252535443","doi":"10.21203/rs.3.rs-35238/v1","title":"Predicting Pathological Complete Response (Pcr) After Stereotactic Ablative Radiation Therapy (Sabr) of Lung Cancer Using Quantitative Dynamic [18f]fdg Pet and Ct Perfusion: A Prospective Exploratory Clinical Study","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; London Health Sciences Centre; Sunnybrook Health Science Centre; Western University","funders":"Ontario Institute for Cancer Research","keywords":"SABR volatility model; Medicine; Nuclear medicine; Lung cancer; Radiation therapy; Ablative case; Radiosurgery; Radiology; Internal medicine","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":[0.002222177,0.0007772623,0.0006191877,0.000439954,0.0002793092,0.0007170543,0.0004370887,0.000984563,0.001311269],"category_scores_gemma":[0.003683892,0.0004154475,0.0006121618,0.0002817078,0.0008080543,0.0006424348,0.0003655303,0.0006141845,0.0005567531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003221901,"about_ca_system_score_gemma":0.0004291352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006352467,"about_ca_topic_score_gemma":0.000331544,"domain_scores_codex":[0.9991089,0.0004207829,0.00003892572,0.0001979067,0.0001385772,0.00009479934],"domain_scores_gemma":[0.998342,0.0009209194,0.000254093,0.0001594835,0.0001371999,0.0001862017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.1102064,0.008847607,0.8002969,0.0001817874,0.0005684547,0.00060705,0.0003782366,0.002401179,0.02155718,0.0001132252,0.0004064732,0.05443541],"study_design_scores_gemma":[0.001955848,0.06322468,0.9208204,0.00001829568,0.0005463622,0.00121918,0.0003114322,0.003137998,0.007407587,0.0002151116,0.001098286,0.00004481423],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991942,0.0002262145,0.0002252427,0.00001177145,0.000005950103,0.00005182534,0.00009278335,0.000004989376,0.000186968],"genre_scores_gemma":[0.9989972,0.0001310524,0.0001961567,0.00002123072,0.00001576951,0.00004905771,0.0002929564,0.0000045692,0.0002921724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002222177,"threshold_uncertainty_score":0.01175213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1385060250834018,"score_gpt":0.5014855697976511,"score_spread":0.3629795447142493,"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."}}