{"id":"W4413948012","doi":"10.1016/j.rvsc.2025.105883","title":"Productive and welfare parameters in trimmed laying hens: A systematic review-meta-analysis","year":2025,"lang":"en","type":"article","venue":"Research in Veterinary Science","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Prince Edward Island","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Meta-analysis; Welfare; Laying; Systematic error; Statistics; Mathematics; Internal medicine; Medicine; Economics; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004033376,0.0000914479,0.0005990425,0.0003370031,0.0002418969,0.00006186609,0.0004282246,0.00003432876,0.00004371653],"category_scores_gemma":[0.0006599707,0.00003517036,0.0001262959,0.008098476,0.0005315657,0.0002012483,0.000237574,0.0002128014,0.000004808295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006399225,"about_ca_system_score_gemma":0.00002680653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003034553,"about_ca_topic_score_gemma":0.00002326107,"domain_scores_codex":[0.9975589,0.0008599247,0.0003015967,0.0005252287,0.0003602866,0.0003940563],"domain_scores_gemma":[0.999157,0.0004904114,0.00004517651,0.0001138491,0.0001253303,0.00006826578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0009595411,0.001968986,0.01075263,0.1235779,0.006038369,0.000621294,0.001157938,0.00009597775,0.831499,0.01761565,0.0003951513,0.005317572],"study_design_scores_gemma":[0.0009905065,0.007365518,0.9279949,0.02051007,0.007705973,0.0001094639,0.01998877,0.001880208,0.0003174497,0.009909002,0.001782659,0.001445493],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812545,0.008871389,4.956905e-7,0.008613507,0.00001416799,0.0008821664,0.000007567317,0.000009410412,0.0003468463],"genre_scores_gemma":[0.9985093,0.000840988,0.00006959367,0.0002980098,0.000004108042,0.0001889816,0.00000331453,2.750928e-7,0.00008539128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9172422,"threshold_uncertainty_score":0.3891049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2950373702907343,"score_gpt":0.427537026271765,"score_spread":0.1324996559810306,"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."}}