{"id":"W7074092664","doi":"","title":"Ultrasonographic features of an adductor longus tear: Case report","year":2001,"lang":"en","type":"article","venue":"National University of Singapore","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ultrasonography; Feature (linguistics); Computed tomography; Ultrasound; Lower limb","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":[0.0008009914,0.002872189,0.001947044,0.005189275,0.002965845,0.002099434,0.003067538,0.01153852,0.007897684],"category_scores_gemma":[0.008935467,0.002593921,0.001561627,0.002874694,0.003681478,0.005982678,0.002501598,0.005321069,0.00248713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001924045,"about_ca_system_score_gemma":0.001661902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007402692,"about_ca_topic_score_gemma":0.005834199,"domain_scores_codex":[0.9987011,0.0001392838,0.0001844482,0.0003268773,0.0001824364,0.0004658948],"domain_scores_gemma":[0.9945419,0.001953846,0.0007601514,0.0006431641,0.0004195305,0.001681291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.00004080986,0.00003964034,0.002819042,0.00002154145,0.000006171306,0.9955788,0.00008925577,0.00003343978,0.0004627074,0.00007567364,0.0001796043,0.0006531667],"study_design_scores_gemma":[0.00003280187,0.0000878022,0.00437061,0.00001606822,0.00002172279,0.9942115,0.0002380508,0.0002435826,0.0003133048,0.0001209942,0.0003263956,0.00001703627],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9439989,0.009337922,0.005610161,0.009881471,0.001128928,0.0004515212,0.0006378354,0.0004590805,0.02849429],"genre_scores_gemma":[0.9918944,0.001404946,0.001905165,0.0009196783,0.002433028,0.00004153841,0.0001384975,0.00003137913,0.001231269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01153852,"threshold_uncertainty_score":0.02642035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0360601256284923,"score_gpt":0.2095782127937274,"score_spread":0.1735180871652351,"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."}}