{"id":"W4416380488","doi":"10.1111/jsap.70063","title":"Small sample sizes in clinical trials: a pragmatic approach to clinical research in veterinary medicine","year":2025,"lang":"en","type":"article","venue":"Journal of Small Animal Practice","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Sample size determination; Clinical trial; Alternative medicine; Guideline; Randomized controlled trial; Data extraction; Limiting; Research design; Quality (philosophy)","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.7651297,0.005342828,0.02162444,0.01693041,0.004546945,0.02288236,0.01177617,0.02119057,0.008831012],"category_scores_gemma":[0.85897,0.004516423,0.008482764,0.01383062,0.02204943,0.02226476,0.01342911,0.03327715,0.003541145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01130713,"about_ca_system_score_gemma":0.03528651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002392398,"about_ca_topic_score_gemma":0.003741005,"domain_scores_codex":[0.1232076,0.7855119,0.05421336,0.009147511,0.02681642,0.001103301],"domain_scores_gemma":[0.07468012,0.8495802,0.01858914,0.02875087,0.02402561,0.004374106],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.009381629,0.0007851992,0.004798574,0.1062833,0.01507323,0.002040729,0.01474238,0.006234112,0.002127421,0.3091539,0.1369462,0.3924331],"study_design_scores_gemma":[0.01264998,0.002485443,0.003284985,0.06843113,0.005280684,0.001507568,0.002558008,0.01177638,0.001571683,0.7086981,0.1809856,0.0007704441],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003367631,0.08417293,0.4629386,0.3299612,0.03637492,0.0606501,0.001334323,0.001036613,0.02016365],"genre_scores_gemma":[0.06598787,0.01352552,0.7144125,0.07569489,0.01767862,0.1101302,0.0003473127,0.0004337275,0.001789422],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2348703,"threshold_uncertainty_score":0.2896369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9702242732015798,"score_gpt":0.7335702617698395,"score_spread":0.2366540114317403,"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."}}