{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000261678,0.0002256031,0.0008321984,0.0006814818,0.0001618708,0.00001982748,0.0002032752,0.0001386252,0.00007383183],"category_scores_gemma":[0.0004908464,0.0002314875,0.0002386198,0.0006519986,0.0001668799,0.000274983,0.00002741461,0.0001965559,0.000006025652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003532193,"about_ca_system_score_gemma":0.0001769537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008989381,"about_ca_topic_score_gemma":0.0006194201,"domain_scores_codex":[0.9983028,0.00006190825,0.0007392171,0.0005406556,0.00004617166,0.0003093141],"domain_scores_gemma":[0.9979967,0.0006196121,0.0008271044,0.0002811846,0.0002029047,0.0000724503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001122806,0.0003557313,0.92535,0.0001171483,0.0002988975,0.000001170789,0.0001036162,0.05587469,0.00001100082,0.002689707,0.0004334684,0.01364177],"study_design_scores_gemma":[0.012048,0.007246521,0.2264691,0.00006259773,0.0005694691,1.935983e-7,0.0001441817,0.02877284,0.0008699627,0.001305375,0.722007,0.0005046987],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8701348,0.007145553,0.105705,0.001856045,0.001290628,0.00203525,0.007294145,0.0001189949,0.004419518],"genre_scores_gemma":[0.9962325,0.00008121035,0.00155644,0.001284417,0.00003133627,0.0002127547,0.0005229772,0.00002246362,0.00005589955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7215736,"threshold_uncertainty_score":0.9439788,"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."}}