{"id":"W7126678566","doi":"","title":"Améliorer la préparation et la réponse aux crises sanitaires en santé animale : étude de cas du secteur avicole en Indonésie","year":2025,"lang":"en","type":"dissertation","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Food Safety and Hygiene","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Association Nationale de la Recherche et de la Technologie; Global Affairs Canada; United States Agency for International Development","keywords":"Work (physics); Public health; Vulnerability (computing); Private sector; One Health; Urbanization; Influenza A virus subtype H5N1; Animal health; Government (linguistics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001372803,0.0003378923,0.0002011457,0.0006243846,0.002597,0.001599475,0.0006961235,0.001286445,0.002779003],"category_scores_gemma":[0.002713887,0.0002606147,0.0002762622,0.0005176977,0.002147429,0.001332143,0.001515858,0.001229699,0.0002050507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004044941,"about_ca_system_score_gemma":0.005338106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09766327,"about_ca_topic_score_gemma":0.1182561,"domain_scores_codex":[0.9991528,0.0003206599,0.00005094487,0.0001008049,0.0001015507,0.0002731223],"domain_scores_gemma":[0.9983773,0.0004899689,0.0005421277,0.00005093651,0.0002209296,0.0003187998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001924934,0.0003528305,0.6161913,0.0009142912,0.00007420913,0.03439783,0.2682697,0.0006633613,0.003973307,0.005465595,0.003448699,0.06605647],"study_design_scores_gemma":[0.00002020401,0.0003588646,0.5273219,0.001040731,0.00006619265,0.01438492,0.4069072,0.0009404891,0.001795891,0.001199198,0.04589884,0.000065621],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920287,0.002241218,0.0002668849,0.0021621,0.00004601638,0.00003174647,0.00005069894,0.000005523536,0.003167175],"genre_scores_gemma":[0.9956339,0.002032325,0.0002701225,0.0003322471,0.00002683932,0.00002337034,0.00003266863,0.000004710938,0.001643781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09766327,"threshold_uncertainty_score":0.1941897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01088206256416395,"score_gpt":0.2579165090741642,"score_spread":0.2470344465100003,"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."}}