{"id":"W4247420073","doi":"10.32920/ryerson.14645709","title":"MRI based physiological parameters are biomarkers of tumor and non tumor tissue response following radiation to brain metastases","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Brain Metastases and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Radiosurgery; Medicine; White matter; Magnetic resonance imaging; Nuclear medicine; Cerebral blood flow; Brain tissue; Radiation therapy; Radiology; Pathology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002974549,0.0002855514,0.0003849992,0.0004070402,0.00008591254,0.0003439208,0.0001192408,0.0002730039,0.0008232876],"category_scores_gemma":[0.001297846,0.0001259657,0.0001491451,0.000196694,0.0002492539,0.0003605928,0.0001258164,0.0004276349,0.0002519135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001986352,"about_ca_system_score_gemma":0.0001484178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005002171,"about_ca_topic_score_gemma":0.0006875435,"domain_scores_codex":[0.999872,0.00004243238,0.000006580746,0.00002823287,0.00003101401,0.00001983979],"domain_scores_gemma":[0.9994838,0.0001141249,0.0002729263,0.00003059477,0.00004620946,0.00005226629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004325503,0.000519818,0.3111325,0.0002630086,0.0001426448,0.0005763579,0.0002532643,0.002648733,0.6246414,0.0001823373,0.0003725465,0.05494199],"study_design_scores_gemma":[0.00001632098,0.002023068,0.9583265,0.000007969447,0.00005054351,0.0007721923,0.00008911294,0.001403282,0.03675686,0.0001469614,0.0003907792,0.0000164205],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970173,0.0008289343,0.001158867,0.00005217247,0.000006220657,0.00001741259,0.0001538793,0.00004153174,0.000723823],"genre_scores_gemma":[0.9986406,0.0002739686,0.0005205182,0.00002087371,0.00001420559,0.00001448461,0.0001512275,0.000008907739,0.0003552195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008232876,"threshold_uncertainty_score":0.002754152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02795607299715721,"score_gpt":0.3108879039340152,"score_spread":0.282931830936858,"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."}}