{"id":"W2301923671","doi":"10.1186/s12917-016-0678-8","title":"Subchondral bone density distribution of the talus in clinically normal Labrador Retrievers","year":2016,"lang":"en","type":"article","venue":"BMC Veterinary Research","topic":"Veterinary Orthopedics and Neurology","field":"Veterinary","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agentschap voor Innovatie door Wetenschap en Technologie","keywords":"Biomechanics; Subchondral bone; Joint (building); Anatomy; Bone density; Hock; Ridge; Distribution (mathematics); Tarsus (eyelids); Joint disease; Medicine; Tarsal Joint; Biology; Biomedical engineering; Orthodontics; Pathology; Osteoporosis; Osteoarthritis; Articular cartilage; Mathematics; Surgery; Structural engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.003099027,0.0002192534,0.0003950783,0.0001808714,0.0002181657,0.00002307084,0.0007494137,0.0002701425,0.0002251231],"category_scores_gemma":[0.001319222,0.0001411669,0.0002317296,0.0007843383,0.0008799524,0.0002577986,0.001428613,0.0007026045,0.0001226342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00014514,"about_ca_system_score_gemma":0.0002422161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001830055,"about_ca_topic_score_gemma":0.00008688531,"domain_scores_codex":[0.9949997,0.001880905,0.0008080965,0.0006213755,0.0008182813,0.0008716543],"domain_scores_gemma":[0.9972944,0.001100922,0.000171998,0.001022763,0.0002432672,0.0001666849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02417772,0.0006248248,0.5130913,0.0001500131,0.00002095044,0.003106264,0.0001979521,0.000002857326,0.4515747,0.0006550311,0.00228191,0.004116426],"study_design_scores_gemma":[0.002502981,0.01413248,0.9666287,0.0001400246,0.000009182023,0.002818247,0.00007215313,0.0001079445,0.001197397,0.0002779661,0.01182162,0.0002912633],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970809,0.0000501221,0.00009058633,0.001070537,0.0004965059,0.0005137908,0.0001444346,0.00003811718,0.0005149617],"genre_scores_gemma":[0.9986615,0.00008358565,0.00009471858,0.00005234763,0.0001357728,0.00004286586,0.00001485354,0.00003393637,0.0008804903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4535374,"threshold_uncertainty_score":0.575662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2088402177726043,"score_gpt":0.4213541067091477,"score_spread":0.2125138889365434,"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."}}