{"id":"W4404237720","doi":"10.1093/neuonc/noae165.1041","title":"QOL-06. OPTIMIZING NEUROFIBROMATOSIS CARE: A COMPREHENSIVE ECONOMIC EVALUATION OF A SPECIALIZED EXPERTISE CENTER’S IMPACT ON PATIENT OUTCOMES","year":2024,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Neurofibromatosis and Schwannoma Cases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Université Laval; Université de Montréal","funders":"","keywords":"Center (category theory); Neurofibromatosis; Medicine; Quality of life (healthcare); Gerontology; Nursing; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.009158487,0.00055718,0.0007395814,0.001019966,0.0003804376,0.00154453,0.0007767984,0.0005681452,0.003432001],"category_scores_gemma":[0.01861099,0.0002094878,0.002609512,0.001722603,0.0005031464,0.000662204,0.001365434,0.0008167167,0.0002123817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007954203,"about_ca_system_score_gemma":0.006301324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01955272,"about_ca_topic_score_gemma":0.01910869,"domain_scores_codex":[0.9958235,0.002785348,0.0002721745,0.0001919046,0.0005204233,0.0004065941],"domain_scores_gemma":[0.9938828,0.002415757,0.001560804,0.0002335331,0.0007157545,0.001191379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04550654,0.01291004,0.4362507,0.003787207,0.01030483,0.0003404534,0.0004981447,0.1604013,0.001418707,0.008713516,0.02393707,0.2959315],"study_design_scores_gemma":[0.01168394,0.04806004,0.6746337,0.001722728,0.005332053,0.0005403226,0.001448086,0.2346008,0.001489428,0.002981986,0.0172429,0.0002639727],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749905,0.002181953,0.003024617,0.001662755,0.00007370838,0.002680977,0.009446408,0.00005653423,0.005882477],"genre_scores_gemma":[0.991246,0.0004526987,0.004237671,0.0001853787,0.00002049187,0.0009017283,0.002681568,0.000009287304,0.0002653364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01955272,"threshold_uncertainty_score":0.05771202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05008768357515468,"score_gpt":0.3594361160678967,"score_spread":0.309348432492742,"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."}}