{"id":"W4414946279","doi":"10.1016/j.rvsc.2025.105931","title":"Alberta beef industry stakeholders' perspectives towards adoption of preconditioning practices: A thematic analysis","year":2025,"lang":"en","type":"article","venue":"Research in Veterinary Science","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"University of Calgary","keywords":"Feedlot; Thematic analysis; Incentive; Welfare; Thriving; Economic shortage; Beef cattle","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001687974,0.00008317982,0.0001340638,0.0007331267,0.0001542109,0.00004692685,0.0005052341,0.0001194658,0.0000428226],"category_scores_gemma":[0.001007349,0.00007938836,0.0000517314,0.002623694,0.0008378266,0.00002566402,0.0002621294,0.0002935731,0.000002181105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005182796,"about_ca_system_score_gemma":0.0007601997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002829053,"about_ca_topic_score_gemma":0.00003831827,"domain_scores_codex":[0.9984482,0.0002255463,0.000204286,0.0004374845,0.0003718707,0.0003126434],"domain_scores_gemma":[0.999065,0.0001141185,0.0001128935,0.0004094751,0.0002349559,0.0000635109],"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":[0.0008044486,0.002058686,0.03671398,0.0008336549,0.0008292422,0.000008402326,0.01206953,0.02538837,0.8342528,0.06469139,0.0004645099,0.02188497],"study_design_scores_gemma":[0.0004411783,0.002069741,0.9642179,0.0002157824,0.00005374445,0.00001437051,0.01985021,0.0006592626,0.008476455,0.003223764,0.0005715974,0.0002059933],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982987,0.0003547894,0.001418872,0.0001992066,0.00004221092,0.0002055988,0.000005960959,0.000002784197,0.01478361],"genre_scores_gemma":[0.992495,0.0000360486,0.006235392,0.00001245653,0.00002247857,0.00002868057,0.000008511617,0.000003634564,0.001157814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9275039,"threshold_uncertainty_score":0.3237363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1695763821367852,"score_gpt":0.4334004495138864,"score_spread":0.2638240673771012,"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."}}