{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00258697,0.0003798943,0.0005750314,0.0004441189,0.0002257204,0.0006176776,0.0005068262,0.0005211373,0.0008762192],"category_scores_gemma":[0.01103376,0.0003796476,0.0002883325,0.000243545,0.001159023,0.0005850234,0.0005398996,0.0005077878,0.0001824338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004083574,"about_ca_system_score_gemma":0.0004589606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000932607,"about_ca_topic_score_gemma":0.001823913,"domain_scores_codex":[0.9972866,0.0007822294,0.0002269347,0.0006057475,0.0008684987,0.0002300764],"domain_scores_gemma":[0.9912605,0.003110566,0.003564513,0.001107286,0.0005400883,0.0004170682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00487967,0.001610501,0.9109056,0.00009727343,0.000128871,0.0003964759,0.0003567526,0.0007517866,0.06186581,0.0001148671,0.0002317226,0.01866065],"study_design_scores_gemma":[0.00002843,0.003256958,0.9872078,0.00001085828,0.00004322418,0.0005979241,0.0001214027,0.001333857,0.007088294,0.0001133737,0.0001851429,0.0000127199],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987022,0.0000950765,0.000916148,0.0000227217,0.00001081235,0.00002249746,0.00003722102,0.00001459479,0.0001786454],"genre_scores_gemma":[0.9986852,0.00004067719,0.000921663,0.00004056102,0.00002144541,0.00003461165,0.00008407013,0.000007443282,0.0001642743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00258697,"threshold_uncertainty_score":0.01368141,"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."}}