{"id":"W4410238319","doi":"10.3390/curroncol32050273","title":"Epidemiology, Treatment Patterns, Survival, Healthcare Resource Utilization, and Costs of Dedifferentiated Liposarcoma (DDLPS) in Canada: A Retrospective Cohort Study Using Administrative Databases in Ontario","year":2025,"lang":"en","type":"article","venue":"Current Oncology","topic":"Sarcoma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; Boehringer Ingelheim (Canada); Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research; Government of Ontario; Institute for Clinical Evaluative Sciences; Cancer Care Ontario","keywords":"Medicine; Cohort; Epidemiology; Incidence (geometry); Liposarcoma; Retrospective cohort study; Health care; Database; Cumulative incidence; Emergency medicine; Cohort study; Internal medicine; Sarcoma; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0007441782,0.0003737591,0.0004832867,0.002216979,0.001939452,0.001179606,0.0009906901,0.0003592579,0.001303391],"category_scores_gemma":[0.002065514,0.0005561005,0.0007048216,0.005783788,0.0006378423,0.0004012784,0.001021994,0.0004797148,0.0001749838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02525216,"about_ca_system_score_gemma":0.02502122,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9884517,"about_ca_topic_score_gemma":0.9899221,"domain_scores_codex":[0.9988273,0.00006746501,0.000129454,0.0001892466,0.0004616323,0.0003248906],"domain_scores_gemma":[0.9969717,0.0001272687,0.001084044,0.0001214097,0.001227158,0.0004684011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002710939,0.000009080519,0.998216,0.00002829627,0.00004290056,0.00004801034,0.0002107021,0.00005007434,0.00006357249,0.00002657281,0.0004745408,0.0008029744],"study_design_scores_gemma":[0.000005808302,0.00001221003,0.9984978,0.0000316653,0.00002506189,0.00007432705,0.0004936847,0.0001902471,0.00002635767,0.000009770866,0.0006265119,0.000006453142],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823669,0.0009211682,0.000131863,0.0002236047,0.0000074395,0.00008401482,0.01507123,0.00001068177,0.001183008],"genre_scores_gemma":[0.993902,0.0007062497,0.0001931873,0.00009085033,0.000005445153,0.00004516199,0.004663467,0.000004909176,0.0003887733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02525216,"threshold_uncertainty_score":0.1832181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3547995648016866,"score_gpt":0.4742535813878546,"score_spread":0.1194540165861679,"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."}}