{"id":"W2049226263","doi":"10.1097/rct.0b013e318287efa0","title":"Achilles Tendinopathy and Partial Tear Diagnosis Using Dual-Energy Computed Tomography Collagen Material Decomposition Application","year":2013,"lang":"en","type":"article","venue":"Journal of Computer Assisted Tomography","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; University of British Columbia","funders":"","keywords":"Medicine; Ankle; Achilles tendon; Soft tissue; Tendinopathy; Magnetic resonance imaging; Computed tomographic; Tendon; Computed tomography; Radiology; Tomography; Anatomy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001328079,0.0002920794,0.0004265129,0.0007105797,0.0001795163,0.0002479625,0.0001748371,0.0001132353,0.00001946948],"category_scores_gemma":[0.000002215161,0.0002777726,0.0002363452,0.000640694,0.00008535443,0.0006606026,0.00005854338,0.0001586095,0.000001676626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004055983,"about_ca_system_score_gemma":0.00001255274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002004677,"about_ca_topic_score_gemma":0.000001484643,"domain_scores_codex":[0.9984184,0.00009401391,0.0006755547,0.0002090472,0.0002800144,0.0003229873],"domain_scores_gemma":[0.9990239,0.00008214571,0.0003014502,0.0001803895,0.0002012183,0.0002109239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003822183,0.001435673,0.09542964,0.0006018377,0.003091392,0.0002709483,0.001679525,0.1427788,0.2494187,0.001071884,0.007808577,0.4960308],"study_design_scores_gemma":[0.003076247,0.0007096773,0.3096862,0.0006422567,0.0005053259,0.001687879,0.00016293,0.6454923,0.02857804,0.001835193,0.00619704,0.001427002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6502667,0.0006914923,0.3478174,0.00006257722,0.0007669549,0.0001634297,0.00001401736,0.0001704932,0.00004692027],"genre_scores_gemma":[0.9336265,0.000110835,0.06532571,0.00009220252,0.0007581229,0.00002516156,0.0000186339,0.00004238117,4.165313e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5027134,"threshold_uncertainty_score":0.9999675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005536805877413842,"score_gpt":0.2146372907723944,"score_spread":0.2091004848949805,"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."}}