{"id":"W2948756637","doi":"10.1002/jor.24387","title":"Epidemiology, Incidence, and Survival of Rhabdomyosarcoma Subtypes: SEER and ICES Database Analysis","year":2019,"lang":"en","type":"article","venue":"Journal of Orthopaedic Research®","topic":"Sarcoma Diagnosis and Treatment","field":"Medicine","cited_by":140,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; Juravinski Hospital; Juravinski Cancer Centre; McMaster University; McMaster University Medical Centre","funders":"","keywords":"Rhabdomyosarcoma; Medicine; Alveolar rhabdomyosarcoma; Epidemiology; Surveillance, Epidemiology, and End Results; Survival analysis; Oncology; Embryonal rhabdomyosarcoma; Proportional hazards model; Incidence (geometry); Internal medicine; Soft tissue sarcoma; Population; Survival rate; Sarcoma; Database; Pathology; Cancer registry","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":[0.001704034,0.0002126119,0.000700422,0.003982268,0.0002000888,0.0005588394,0.0004648383,0.0002912948,0.001474637],"category_scores_gemma":[0.004098794,0.0002362198,0.001049831,0.007443475,0.0001244899,0.0005249655,0.0006135151,0.0004045023,0.0002594473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007945551,"about_ca_system_score_gemma":0.0008438613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01753526,"about_ca_topic_score_gemma":0.02447074,"domain_scores_codex":[0.9983164,0.0003416425,0.0004849351,0.0003792607,0.0002623504,0.0002154371],"domain_scores_gemma":[0.9962665,0.0007629761,0.001758255,0.0003154133,0.0007141004,0.0001826042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001508083,0.00001634613,0.992831,0.0002635638,0.0004841406,0.00006112244,0.00004614592,0.000409505,0.00009876764,0.0001230818,0.003066124,0.002449431],"study_design_scores_gemma":[0.00001573793,0.00002827736,0.9959966,0.0001645163,0.0002119466,0.000247057,0.0001960464,0.0007986896,0.00008223599,0.00006000452,0.002188361,0.00001057736],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7919158,0.006282197,0.0006589873,0.0002399614,0.00002767675,0.0001647957,0.1979181,0.00003491369,0.002757621],"genre_scores_gemma":[0.8747102,0.003005014,0.0007645726,0.0001431715,0.00003499429,0.0002892847,0.120647,0.00002221197,0.0003835431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01753526,"threshold_uncertainty_score":0.03486639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08310114262179247,"score_gpt":0.4059726416045465,"score_spread":0.322871498982754,"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."}}