{"id":"W3104296733","doi":"10.1101/2020.11.06.20227298","title":"Predicting Response to Radiotherapy of Intracranial Metastases with Hyperpolarized <sup>13</sup> C MRI","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Trillium Health Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Radiosurgery; Medicine; Nuclear medicine; Radiation therapy; Radiology; Predictive value; Lesion; Magnetic resonance imaging; Internal medicine; Surgery","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":[0.0005502719,0.0003008348,0.0003038893,0.000358863,0.0001022823,0.0003598955,0.0001562466,0.0003108472,0.0009903521],"category_scores_gemma":[0.001228575,0.0001139375,0.0001860437,0.0001467304,0.0002668539,0.0001519326,0.0001401225,0.0003402854,0.0003014501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002450553,"about_ca_system_score_gemma":0.0002585023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00162892,"about_ca_topic_score_gemma":0.001557834,"domain_scores_codex":[0.9998604,0.00005897983,0.000007859156,0.00003032485,0.00002264157,0.00001977694],"domain_scores_gemma":[0.9994485,0.0002090639,0.0001735639,0.00002830514,0.00007055117,0.00006997771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01007749,0.0004177618,0.7092618,0.000112884,0.0001812051,0.0003165357,0.0001059087,0.00709531,0.2292036,0.00009633629,0.0008067948,0.04232433],"study_design_scores_gemma":[0.0001855822,0.003418006,0.862031,0.00002163819,0.0002180509,0.001014826,0.0001933663,0.03240313,0.09940402,0.000346361,0.0007226901,0.00004122853],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997551,0.0002580722,0.00151903,0.00006439727,0.000006515862,0.00001853156,0.0001107941,0.00003384412,0.0004377233],"genre_scores_gemma":[0.9983428,0.00009481784,0.001175512,0.00001896802,0.000007105752,0.00001352492,0.0001503953,0.000004986151,0.0001918195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00162892,"threshold_uncertainty_score":0.003313065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01764779708981915,"score_gpt":0.2854544919615297,"score_spread":0.2678066948717105,"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."}}