{"id":"W2040813128","doi":"10.1002/hed.10047","title":"Soft tissue sarcoma","year":2002,"lang":"en","type":"article","venue":"Head & Neck","topic":"Sarcoma Diagnosis and Treatment","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital","funders":"","keywords":"Sarcoma; Soft tissue sarcoma; Computer science; Medicine; Pathology","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":[0.0001211923,0.0003258357,0.0002455244,0.001065697,0.0008775544,0.0006895685,0.0003223735,0.0005111739,0.07506684],"category_scores_gemma":[0.0006013658,0.000126956,0.0004154271,0.0006707643,0.0003630942,0.0005984588,0.000684483,0.0007182724,0.02882646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006066823,"about_ca_system_score_gemma":0.0009645098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001775154,"about_ca_topic_score_gemma":0.004659507,"domain_scores_codex":[0.9998429,0.000009595921,0.00001225362,0.00002452459,0.00005705832,0.00005359566],"domain_scores_gemma":[0.9998246,0.00002028036,0.00002148922,0.00003118387,0.00004470877,0.00005782535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002333551,0.0002482145,0.03977704,0.0005375792,0.0000807961,0.1522923,0.0004922901,0.0004287153,0.03006466,0.01449784,0.1530193,0.6083279],"study_design_scores_gemma":[0.00002351969,0.0001227415,0.02639515,0.0001804624,0.00005558729,0.3254944,0.0002957758,0.0002326722,0.005042992,0.003178901,0.6389621,0.00001566994],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08698479,0.01201497,0.003261399,0.004577846,0.00172639,0.0002258936,0.001616206,0.0004638659,0.8891287],"genre_scores_gemma":[0.4602044,0.01151855,0.002922285,0.004344585,0.001254175,0.00008756752,0.001993739,0.0001173034,0.5175574],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07506684,"threshold_uncertainty_score":0.2511236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04277391235004935,"score_gpt":0.3036225084813592,"score_spread":0.2608485961313098,"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."}}