{"id":"W4413105879","doi":"10.1093/noajnl/vdaf123.041","title":"DSAI-08 MACHINE LEARNING-BASED PREDICTION OF INPATIENT CARE COSTS FOR PATIENTS WITH BRAIN METASTASES: A CLAIMS-BASED ANALYSIS","year":2025,"lang":"en","type":"article","venue":"Neuro-Oncology Advances","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Medicine; Emergency medicine; Payment; Finance","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":[0.004046382,0.0004444999,0.0005774386,0.002492353,0.0002587704,0.001322851,0.0008744548,0.0004123791,0.003123907],"category_scores_gemma":[0.01655621,0.0001883558,0.001342125,0.002632982,0.000263611,0.0005378902,0.0008090648,0.0008398256,0.0006458988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008970205,"about_ca_system_score_gemma":0.001155817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009194016,"about_ca_topic_score_gemma":0.005856867,"domain_scores_codex":[0.9979163,0.0007788818,0.0003028776,0.0003127051,0.0005524912,0.0001368019],"domain_scores_gemma":[0.989309,0.00572538,0.002343063,0.0006162146,0.001563269,0.0004432519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006579269,0.0002765049,0.9670491,0.0001754019,0.0006459064,0.0001319911,0.00005806354,0.01233204,0.0001705629,0.0005047499,0.00390932,0.01408836],"study_design_scores_gemma":[0.0001516528,0.0005358908,0.7391574,0.0001906931,0.0004718281,0.0006513464,0.0003280914,0.2528384,0.0007058973,0.001164863,0.003761116,0.00004291472],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777845,0.0006163272,0.003430333,0.0005230072,0.00002770708,0.00009667467,0.01582657,0.0001060824,0.001588738],"genre_scores_gemma":[0.9830556,0.0001949294,0.002039987,0.00006086293,0.0000473467,0.00007570528,0.01425348,0.00001451648,0.0002575712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009194016,"threshold_uncertainty_score":0.02139956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009455628943629123,"score_gpt":0.2483773209370681,"score_spread":0.238921691993439,"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."}}