{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007312093,0.000133395,0.0009660822,0.001007391,0.00005931695,0.00001136896,0.0001272881,0.00008855169,0.0002258167],"category_scores_gemma":[0.00212372,0.00008676982,0.0002479385,0.0007805885,0.000389095,0.0001970615,0.0001583361,0.0004971274,0.00000795569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004477658,"about_ca_system_score_gemma":0.0002036289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002407638,"about_ca_topic_score_gemma":0.00007932273,"domain_scores_codex":[0.9972615,0.0006195178,0.0007451457,0.0002492347,0.0007959352,0.0003286487],"domain_scores_gemma":[0.9951023,0.003169497,0.0003926696,0.0003505642,0.0006049122,0.0003800209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00045957,0.000244174,0.9916452,0.0001445794,0.001149997,0.0003345546,0.0001063146,0.000003426501,0.000384395,0.0003580374,0.0004289502,0.004740768],"study_design_scores_gemma":[0.00202973,0.00095484,0.9932564,0.0002499533,0.000695733,0.0002813101,0.0004849858,0.0002027204,0.0001594934,0.0002471873,0.001369306,0.00006829746],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774099,0.01982175,0.00003292149,0.002005383,0.00007919931,0.0002215844,0.00001634706,0.000003601934,0.000409283],"genre_scores_gemma":[0.9911523,0.007075246,0.001377699,0.00009177389,0.0001157329,0.000003734984,0.000009395079,0.00001113869,0.0001629584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01374239,"threshold_uncertainty_score":0.353837,"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."}}