{"id":"W1934660509","doi":"10.3415/vcot-11-10-0153","title":"Detection of meniscal tears by arthroscopy and arthrotomy in dogs with cranial cruciate ligament rupture","year":2012,"lang":"en","type":"article","venue":"Veterinary and Comparative Orthopaedics and Traumatology","topic":"Veterinary Orthopedics and Neurology","field":"Veterinary","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Arthrotomy; Medicine; Arthroscopy; Cruciate ligament; Surgery; Tears; Hemarthrosis; Anterior cruciate ligament; Odds ratio; Endoscopy; Retrospective cohort study; Confidence interval; Internal medicine","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":[0.002475782,0.0003434141,0.0004342955,0.001560212,0.0002839153,0.0006762172,0.0003825471,0.0006367171,0.001271015],"category_scores_gemma":[0.008068412,0.0003725903,0.0004733315,0.0006332389,0.0007364071,0.0008350608,0.0005112881,0.0003448879,0.000235628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002402392,"about_ca_system_score_gemma":0.0003054998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009109843,"about_ca_topic_score_gemma":0.001064131,"domain_scores_codex":[0.9982423,0.0004554419,0.0002642994,0.0003479175,0.0005296335,0.0001604153],"domain_scores_gemma":[0.9926439,0.001365817,0.004475615,0.0003543948,0.0008005605,0.0003597961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001051717,0.00002035691,0.9991015,0.000007879026,0.00001928732,0.00006073348,0.00002427811,0.000007366718,0.0002545598,0.000002219626,0.000006888127,0.0003897987],"study_design_scores_gemma":[0.000007094569,0.0004828383,0.9974933,0.00001334141,0.00003364535,0.001396217,0.0001616189,0.00009705587,0.0002452554,0.000006223484,0.00005969371,0.000003772467],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996018,0.0002074518,0.00006287105,0.00000682012,0.000002118921,0.000005899666,0.00003476127,0.000001168542,0.00007715818],"genre_scores_gemma":[0.999665,0.00008995581,0.0001205498,0.000006125067,0.000005051208,0.000005632322,0.00007535244,7.190056e-7,0.00003156619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002475782,"threshold_uncertainty_score":0.01309335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05864688516572442,"score_gpt":0.314078980214638,"score_spread":0.2554320950489136,"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."}}