{"id":"W1612551895","doi":"10.1111/j.1532-950x.2014.12112.x","title":"Learning Confounds Algometric Assessment of Mechanical Thresholds in Normal Dogs","year":2014,"lang":"en","type":"article","venue":"Veterinary Surgery","topic":"Veterinary Orthopedics and Neurology","field":"Veterinary","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Repeated measures design; Morning; Labrador Retriever; Analysis of variance; Surgery; Internal medicine","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":[0.002178065,0.0003405075,0.0008497345,0.001105663,0.0001044252,0.00003066284,0.0003032584,0.0002541438,0.0005893957],"category_scores_gemma":[0.0002802453,0.0003510965,0.0002987192,0.0009036224,0.0001298309,0.0002674622,0.000430874,0.0006311795,0.00004225541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005285657,"about_ca_system_score_gemma":0.00008877024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001310997,"about_ca_topic_score_gemma":0.000004792475,"domain_scores_codex":[0.9965184,0.0008069329,0.0009664288,0.0005980999,0.0004342324,0.0006759384],"domain_scores_gemma":[0.997421,0.001493961,0.0003171213,0.0005342326,0.00006967811,0.000164023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002452443,0.001118802,0.7983952,0.0004971327,0.0001299486,0.006396075,0.0002165847,0.0003057309,0.14939,0.002461895,0.0004905916,0.03814559],"study_design_scores_gemma":[0.001520073,0.02378045,0.8923851,0.0001521323,0.0000406845,0.00675706,0.00006396443,0.02046289,0.0001607692,0.0002825767,0.05338152,0.001012851],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921488,0.00006412768,0.000600275,0.0001443693,0.0009240973,0.0001658367,0.000008346717,0.000109655,0.005834531],"genre_scores_gemma":[0.9986908,0.0001302049,0.0005423308,0.0002162829,0.0001535834,0.00004772544,0.00003588257,0.0000626314,0.0001205123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1492292,"threshold_uncertainty_score":0.9998941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07804424737407943,"score_gpt":0.3427705373307088,"score_spread":0.2647262899566293,"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."}}