{"id":"W171434709","doi":"","title":"CAN WE USE THE TORONTO EXTREMITY SALVAGE SCORE TO MEASURE FUNCTIONAL OUTCOME IN PAEDIATRIC DESMOID FIBROMATOSIS","year":2012,"lang":"en","type":"article","venue":"","topic":"Systemic Sclerosis and Related Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Measure (data warehouse); Outcome (game theory); Physical therapy; Surgery; Computer science; Mathematics; Data mining","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":[0.003479046,0.001029369,0.00192907,0.001605061,0.0006395881,0.002053062,0.001197244,0.002003188,0.003542117],"category_scores_gemma":[0.02086762,0.0003261008,0.00144688,0.001443201,0.001081817,0.002870701,0.0008600488,0.001856895,0.001529011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001173662,"about_ca_system_score_gemma":0.001614858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01161154,"about_ca_topic_score_gemma":0.02215771,"domain_scores_codex":[0.998139,0.0005401417,0.0003062273,0.0001680631,0.0005656697,0.0002807742],"domain_scores_gemma":[0.992709,0.002603343,0.001729685,0.0002718055,0.001825815,0.0008602784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005531685,0.0002792105,0.9110407,0.0003918828,0.0004979324,0.0006721719,0.0004005726,0.001153828,0.0002647114,0.0004452624,0.008737115,0.07556342],"study_design_scores_gemma":[0.0003914408,0.002095948,0.9553169,0.001687224,0.001712114,0.004742616,0.003473235,0.00901282,0.00151807,0.004311067,0.01546538,0.0002733367],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9359096,0.01668182,0.001890501,0.0188,0.002622565,0.00009207415,0.001989661,0.0000858282,0.02192805],"genre_scores_gemma":[0.9913079,0.003322399,0.001717689,0.001004877,0.000755328,0.00005117986,0.0006689289,0.00002033002,0.001151345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01161154,"threshold_uncertainty_score":0.02308792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07820237855082002,"score_gpt":0.2670510360273201,"score_spread":0.1888486574765001,"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."}}