{"id":"W2523814348","doi":"10.1016/j.ijrobp.2016.06.452","title":"Multi-Institutional Competing Risks Analysis Predicting Distant Brain Failure and Salvage Patterns After Upfront Radiosurgery Without Whole-Brain Radiation Therapy for Brain Metastasis","year":2016,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Brain Metastases and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Medicine; Radiosurgery; Brain metastasis; Hazard ratio; Cumulative incidence; Multivariate analysis; Univariate analysis; Internal medicine; Incidence (geometry); Oncology; Radiation therapy; Proportional hazards model; Surgery; Metastasis; Cancer; Cohort; Confidence interval","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":[0.001662621,0.0005741601,0.0005214253,0.000985396,0.0004844621,0.0009301375,0.001036125,0.0005083944,0.002328416],"category_scores_gemma":[0.004797468,0.0002632478,0.002114592,0.0008368909,0.0003252107,0.0006897324,0.001138936,0.0007078808,0.0001653044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006498289,"about_ca_system_score_gemma":0.0007231585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0041422,"about_ca_topic_score_gemma":0.006771765,"domain_scores_codex":[0.999265,0.0002248773,0.00007643245,0.0001496919,0.0000801963,0.0002037643],"domain_scores_gemma":[0.9960669,0.001569853,0.0011059,0.000394399,0.0001724879,0.0006903949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003229719,0.0002325685,0.9824308,0.00002504707,0.0007945134,0.0002445515,0.00006980908,0.004848336,0.0005296814,0.0001538821,0.0002922932,0.007148872],"study_design_scores_gemma":[0.0000757878,0.001192017,0.9667367,0.00001208686,0.0009511375,0.0006282874,0.0003308668,0.0282988,0.0005309318,0.0008941789,0.0003008965,0.00004829763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999057,0.000112547,0.0004310855,0.0000456445,0.000008413491,0.000005821045,0.0001947359,0.000005960338,0.0001387188],"genre_scores_gemma":[0.9993441,0.00002570603,0.0001360459,0.000008727033,0.00001009101,0.000004426261,0.0003532582,0.000002967794,0.000114738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0041422,"threshold_uncertainty_score":0.008792937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03089541595682217,"score_gpt":0.3462868340019009,"score_spread":0.3153914180450788,"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."}}