{"id":"W2414669843","doi":"10.3928/01477447-20090624-03","title":"Thetis Missed—Dipping Some Master's Athletes","year":2009,"lang":"en","type":"article","venue":"Orthopedics","topic":"Hematological disorders and diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Medicine; Athletes; Gynecology; General surgery; Surgery; Physical therapy","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":[0.0005389883,0.0005591239,0.0005217805,0.0009745683,0.00786953,0.002378463,0.001038545,0.003449622,0.01072003],"category_scores_gemma":[0.003214325,0.000513598,0.0005900245,0.0006773785,0.001477876,0.001749623,0.00190056,0.00536424,0.001972867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001509953,"about_ca_system_score_gemma":0.002224427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01824502,"about_ca_topic_score_gemma":0.04802829,"domain_scores_codex":[0.999043,0.0001124047,0.00005280355,0.0001129565,0.0001609055,0.0005178912],"domain_scores_gemma":[0.9981552,0.000110449,0.0001804575,0.00004683678,0.0002510491,0.001255946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"case_report","study_design_scores_codex":[0.0004759574,0.001434772,0.351578,0.0005025243,0.0002545769,0.1439379,0.05356519,0.0001653288,0.004323682,0.003405115,0.2727738,0.1675832],"study_design_scores_gemma":[0.00009788581,0.001434149,0.2877975,0.001236303,0.0001513714,0.1960447,0.2019746,0.0002763959,0.0009326965,0.002888302,0.307005,0.0001611345],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.812083,0.01026269,0.0006250297,0.1148861,0.01651019,0.0001224384,0.0003576918,0.0002055607,0.04494727],"genre_scores_gemma":[0.8703489,0.005801335,0.0009226216,0.05309345,0.004720089,0.00004170256,0.0002687403,0.0001123818,0.06469075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01824502,"threshold_uncertainty_score":0.03627765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03881620015962749,"score_gpt":0.2777652866657523,"score_spread":0.2389490865061248,"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."}}