{"id":"W2074946154","doi":"10.2106/jbjs.n.00367","title":"Regional Variation and Challenges in Estimating the Incidence of Giant Cell Tumor of Bone","year":2014,"lang":"en","type":"article","venue":"Journal of Bone and Joint Surgery","topic":"Bone Tumor Diagnosis and Treatments","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Giant-cell tumor of bone; Osteosarcoma; Incidence (geometry); Medicine; Giant Cell Tumors; Population; Giant cell; Cancer; Bone cancer; Pathology; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04181079,0.0004225631,0.0007062666,0.002400719,0.0003693353,0.001340438,0.001856545,0.0005936643,0.0005153726],"category_scores_gemma":[0.0994744,0.0003272116,0.001154745,0.003666859,0.000947337,0.001126164,0.001705289,0.0007661657,0.0002333596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001243771,"about_ca_system_score_gemma":0.001120759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03010218,"about_ca_topic_score_gemma":0.02413787,"domain_scores_codex":[0.9710184,0.02030703,0.002052986,0.003793426,0.002295977,0.0005320315],"domain_scores_gemma":[0.9432911,0.03446785,0.009000914,0.006126923,0.006728743,0.0003845704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007408243,0.00002015943,0.925101,0.0002702215,0.0008627795,0.0002280363,0.001150671,0.02591085,0.0003040332,0.003846213,0.001397849,0.04083413],"study_design_scores_gemma":[0.00003418096,0.0001634686,0.9131718,0.0006834945,0.0006831273,0.001886186,0.003457666,0.04833394,0.001241063,0.01531126,0.01490986,0.0001239704],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7882888,0.01219155,0.1775044,0.004447138,0.0002107177,0.0002803431,0.004164743,0.0003156142,0.0125968],"genre_scores_gemma":[0.9784656,0.00110882,0.01881134,0.0002057727,0.00005540749,0.0001162034,0.001074429,0.00005773502,0.0001046394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04181079,"threshold_uncertainty_score":0.2211193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05373246125001106,"score_gpt":0.2514440184399456,"score_spread":0.1977115571899345,"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."}}