{"id":"W4411134365","doi":"10.1177/21925682251347247","title":"Evaluation of Adverse Events and the Impact on Health-Related Outcomes in Patients Undergoing Surgery for Metastatic Spine Tumors: Analysis of the Metastatic Tumor Research and Outcomes Network (MTRON) Registry Dataset","year":2025,"lang":"en","type":"article","venue":"Global Spine Journal","topic":"Management of metastatic bone disease","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; University of British Columbia; University of Toronto","funders":"","keywords":"Medicine; Adverse effect; Metastatic tumor; Outcomes research; Oncology; Metastasis; Surgery; Internal medicine; Cancer; Alternative medicine; Pathology","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":[0.004414839,0.0005078645,0.001130536,0.0026406,0.0004335846,0.000832768,0.0008747227,0.0004861131,0.001492768],"category_scores_gemma":[0.009262078,0.00030656,0.001331078,0.004593607,0.0002483568,0.0007208109,0.001431876,0.0008664548,0.0003449244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008713495,"about_ca_system_score_gemma":0.001804062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005033383,"about_ca_topic_score_gemma":0.0106434,"domain_scores_codex":[0.9952316,0.001101592,0.001412969,0.0009434229,0.0009660148,0.0003444585],"domain_scores_gemma":[0.9835507,0.002123727,0.01095553,0.001251179,0.001429228,0.0006895931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004794961,0.00006109655,0.9927947,0.0002605386,0.000511735,0.00006640271,0.00005894883,0.0002978845,0.0001086601,0.00006198196,0.002307307,0.002991189],"study_design_scores_gemma":[0.00007218567,0.0001249042,0.9968515,0.00006501536,0.0001707544,0.0002062687,0.0001138874,0.0006070177,0.0001030348,0.0000587969,0.001610719,0.00001607734],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8690412,0.001816459,0.001292878,0.000209698,0.00003143318,0.0005259514,0.1254626,0.00004661247,0.001573142],"genre_scores_gemma":[0.8128589,0.001033309,0.002538142,0.0001940808,0.00006275812,0.001705761,0.1810607,0.00003052858,0.0005158241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005033383,"threshold_uncertainty_score":0.02334821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05911125454785093,"score_gpt":0.4213597745393013,"score_spread":0.3622485199914504,"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."}}