{"id":"W4313475706","doi":"10.3390/antibiotics12010008","title":"Multi-Criteria Decision Analysis for Assessing Social Acceptance of Strategies to Reduce Antimicrobial Use in the French Dairy Industry","year":2022,"lang":"en","type":"article","venue":"Antibiotics","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Multiple-criteria decision analysis; Stakeholder; Business; Ranking (information retrieval); Baseline (sea); Sustainability; Environmental economics; Subsidy; Marketing; Economics; Operations research; Computer science; Public relations; Engineering; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.01973619,0.001479605,0.001168358,0.005579306,0.001307113,0.002529883,0.0008699765,0.001157514,0.001900638],"category_scores_gemma":[0.01946408,0.0003614606,0.0020044,0.002642196,0.0009369748,0.0007650899,0.001487498,0.0008789318,0.00009969056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006826198,"about_ca_system_score_gemma":0.004487424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01836901,"about_ca_topic_score_gemma":0.01889717,"domain_scores_codex":[0.9751877,0.02162375,0.0006607684,0.0005050356,0.001419964,0.0006027707],"domain_scores_gemma":[0.9829599,0.01396996,0.001009449,0.0001968008,0.001408845,0.0004550529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002497488,0.001339739,0.06251263,0.002375253,0.001879571,0.0006548824,0.004426219,0.7247206,0.006777574,0.02210141,0.001850267,0.1688645],"study_design_scores_gemma":[0.0002820122,0.002177796,0.02659664,0.0003786709,0.0003876226,0.0001072422,0.005408595,0.9463783,0.002102578,0.01288121,0.003145856,0.0001534843],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8427905,0.001098919,0.1450824,0.0008124169,0.00004870658,0.001937479,0.0005886344,0.00007266249,0.007568256],"genre_scores_gemma":[0.9047712,0.0002080353,0.09358779,0.0000732569,0.00001237456,0.0008573981,0.0001952605,0.000005071906,0.0002895604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01973619,"threshold_uncertainty_score":0.1043762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08571234093871627,"score_gpt":0.3787978243091836,"score_spread":0.2930854833704673,"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."}}