{"id":"W2055998798","doi":"10.1016/j.prevetmed.2011.08.004","title":"Evaluation of strategies to enhance biosecurity compliance on poultry farms in Québec: Effect of audits and cameras","year":2011,"lang":"en","type":"article","venue":"Preventive Veterinary Medicine","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Outaouais; Hatch (Canada); Université de Montréal; Canadian Food Inspection Agency","funders":"","keywords":"Biosecurity; Audit; Compliance (psychology); Business; Agricultural science; Environmental health; Accounting; Environmental science; Medicine; Psychology; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001327183,0.00009496762,0.000259668,0.0000240393,0.00002049361,0.000001046881,0.00009742983,0.00002926601,0.0002693355],"category_scores_gemma":[0.0002672157,0.00003733342,0.00002606831,0.0001467799,0.0001255791,0.00005500699,0.00005630538,0.00004589658,0.000003881382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001637663,"about_ca_system_score_gemma":0.000006389635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003460142,"about_ca_topic_score_gemma":0.0006187633,"domain_scores_codex":[0.9987997,0.0005132167,0.0002122686,0.0001960891,0.0001679125,0.0001108319],"domain_scores_gemma":[0.9995025,0.0002397485,0.0001133659,0.00004021902,0.00006308011,0.00004106027],"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":[0.002165391,0.0003235703,0.1980493,0.0003110061,0.00008269909,0.00001078869,0.00178609,0.000006914688,0.5798107,0.0004784375,0.0003023377,0.2166728],"study_design_scores_gemma":[0.0002167988,0.00755916,0.9885063,0.0003060685,0.0000451372,7.68215e-7,0.0005676485,0.00005787574,0.001739011,0.0008510994,0.000085848,0.00006433741],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968559,0.0005280664,0.000006259604,0.0003807646,0.00004190868,0.0003774133,0.00000758614,0.000006714625,0.001795376],"genre_scores_gemma":[0.999783,0.00006448579,0.00001599506,0.00005400935,0.0000280481,0.00002907836,0.000007231252,5.194048e-7,0.00001762654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.790457,"threshold_uncertainty_score":0.5230723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1419037069917951,"score_gpt":0.3810067581271097,"score_spread":0.2391030511353146,"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."}}