{"id":"W4412813366","doi":"10.20944/preprints202507.2504.v1","title":"Wharton’s Jelly Allografts for Micro Tearing of the Posterior Tibial Tendon","year":2025,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Tendon Structure and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tearing; Tendon; Anatomy; Medicine; Materials science; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000238328,0.0004066564,0.0007971817,0.0001426934,0.00009264422,0.00001396942,0.0004874462,0.0003670643,0.0002039281],"category_scores_gemma":[0.000243086,0.0002864788,0.0007218646,0.000110991,0.0001201272,0.00002778181,0.001791072,0.0006286078,0.0000372106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001736738,"about_ca_system_score_gemma":0.0004394914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003125005,"about_ca_topic_score_gemma":0.00004869205,"domain_scores_codex":[0.9978012,0.00006858681,0.0006233633,0.0008390807,0.0003057957,0.0003619047],"domain_scores_gemma":[0.9974022,0.0001078119,0.0004786719,0.001663729,0.0002407962,0.0001067759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007443675,0.0002934974,0.8247373,0.001353202,0.001175626,0.00001884352,0.0009966877,0.00002535387,0.1638374,0.0001232731,0.0002013466,0.00649315],"study_design_scores_gemma":[0.001862376,0.00006139378,0.5639493,0.0008833063,0.0008512157,0.00004193587,0.00004512895,0.00000809009,0.4218003,0.0006223409,0.009676537,0.0001980653],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875923,0.0003049753,0.00005458053,0.001799601,0.001395781,0.002874849,0.0002277959,0.00009934955,0.005650711],"genre_scores_gemma":[0.989669,0.00005816434,0.001059433,0.0003873078,0.0002616774,0.0002535241,0.00007780404,0.00003669934,0.008196346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2607879,"threshold_uncertainty_score":0.9999588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08353309448564558,"score_gpt":0.3583234869573999,"score_spread":0.2747903924717543,"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."}}