{"id":"W4413856544","doi":"10.1093/noajnl/vdaf166.019","title":"14 MACHINE-LEARNING MODELS FOR PREDICTION OF RADIONECROSIS IN PATIENTS UNDERGOING INTRACRANIAL STEREOTACTIC RADIOSURGERY FOR BRAIN METASTASIS","year":2025,"lang":"en","type":"article","venue":"Neuro-Oncology Advances","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Radiosurgery; Brain metastasis; Medicine; Radiology; Metastasis; Internal medicine; Radiation therapy; Cancer","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001686326,0.0006713495,0.000706521,0.001303237,0.0002677477,0.0007316616,0.0006900579,0.0007781324,0.001321879],"category_scores_gemma":[0.00401301,0.0002416084,0.0009254558,0.0004547458,0.000226556,0.0003062124,0.0003408406,0.0007920522,0.0003310968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009175822,"about_ca_system_score_gemma":0.0008377886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01511986,"about_ca_topic_score_gemma":0.008200982,"domain_scores_codex":[0.9996337,0.000136023,0.00002618735,0.00008987692,0.00004780621,0.00006639172],"domain_scores_gemma":[0.9981416,0.001193094,0.0002516083,0.00005483747,0.0002467636,0.0001119598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005637282,0.0005366031,0.2412516,0.00003975935,0.0002135782,0.0001811267,0.00004419814,0.7088791,0.0005653271,0.0003625005,0.001457966,0.04590453],"study_design_scores_gemma":[0.00000649291,0.00005385201,0.00709595,0.000005066636,0.0000122335,0.0000162112,0.000007409848,0.9924675,0.00009125457,0.0001829774,0.000057015,0.000004051307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9470736,0.0006010658,0.04888501,0.0007515028,0.00006490872,0.00008634838,0.001164314,0.0003336693,0.0010396],"genre_scores_gemma":[0.9946607,0.00006602333,0.004144014,0.00003525474,0.00001664443,0.00004382798,0.0006657953,0.000008728983,0.0003591563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01511986,"threshold_uncertainty_score":0.03006369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02662580213690318,"score_gpt":0.3210270148829601,"score_spread":0.2944012127460569,"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."}}