{"id":"W7084440910","doi":"10.5281/zenodo.17253793","title":"Diagnostic and follow-up MRIs, CTs, Radiotherapy and Radiomics data of Brain Metastases","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research","funders":"","keywords":"Radiomics; Radiation therapy; Magnetic resonance imaging; Medical imaging; Radiosurgery; Neuroimaging; Cancer; Computed tomography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001103169,0.0001937303,0.0002806105,0.0003191187,0.0004719821,0.0008653924,0.002880441,0.0001039337,0.0002716021],"category_scores_gemma":[0.004370222,0.00020062,0.00002618763,0.0004538982,0.0001188857,0.0005098074,0.004081002,0.0003096148,0.00001477744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004094981,"about_ca_system_score_gemma":0.00001074139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008180719,"about_ca_topic_score_gemma":8.055903e-7,"domain_scores_codex":[0.9983389,0.0003354222,0.0002576017,0.0005952089,0.0002580533,0.0002147964],"domain_scores_gemma":[0.9972602,0.0007287984,0.0001792695,0.001565405,0.000157405,0.0001089836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001222937,0.00003175496,6.027446e-7,0.0002316006,0.00007980237,0.0000134461,0.00006293615,0.000004763691,0.00002400374,0.0006334649,0.9451315,0.05377386],"study_design_scores_gemma":[0.0003196955,0.0001564744,0.00002764654,0.0001020093,0.00003980731,0.00009860385,0.000007469603,0.0008242433,0.00003233867,0.00007686502,0.9981338,0.0001810424],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003254386,0.00395581,0.1240325,0.0009359908,0.0002077418,0.0004142842,0.8697739,0.0005431824,0.0001041036],"genre_scores_gemma":[0.00007568214,0.01619845,0.01728149,0.0002216715,0.0000858049,7.878374e-8,0.9657538,0.0002825274,0.0001005176],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.106751,"threshold_uncertainty_score":0.8344999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03770570611364946,"score_gpt":0.2856089680732859,"score_spread":0.2479032619596364,"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."}}