{"id":"W4378951122","doi":"10.5281/zenodo.7994297","title":"Evaluating the Socio-economic effects of reducing antimicrobial use in the pig industry: lessons learned from the French Ecoantibio 1 programme","year":2023,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Horizon 2020 Framework Programme","keywords":"Antimicrobial; Business; Biology; Microbiology","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":[0.01212434,0.0004115012,0.0002506794,0.0007060768,0.0006837121,0.001282279,0.0005793463,0.0006793063,0.002967434],"category_scores_gemma":[0.007414354,0.00009534306,0.0003865506,0.0008920731,0.0007466094,0.0006395433,0.001146583,0.0004542778,0.0001354457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01096567,"about_ca_system_score_gemma":0.01298555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1928231,"about_ca_topic_score_gemma":0.2232815,"domain_scores_codex":[0.9936942,0.004651664,0.00008414043,0.0001357486,0.0006626709,0.0007715364],"domain_scores_gemma":[0.9917019,0.005400769,0.0006306222,0.0001552695,0.001530224,0.0005812956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002589905,0.004638961,0.2907847,0.004722942,0.0006881122,0.002010124,0.03186281,0.01291841,0.004287276,0.02513575,0.02447136,0.5958896],"study_design_scores_gemma":[0.0002784716,0.004742058,0.8523869,0.002052361,0.0004056837,0.0002279826,0.05582333,0.003664902,0.003039584,0.002818194,0.07449176,0.00006885717],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9303397,0.006951086,0.001178831,0.0256693,0.00008156672,0.0003121189,0.001203669,0.00002981631,0.03423394],"genre_scores_gemma":[0.9917697,0.002478959,0.001325888,0.001220173,0.0000264774,0.0001382652,0.0003619587,0.000006747107,0.002671783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1928231,"threshold_uncertainty_score":0.3834014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3150308189309805,"score_gpt":0.3920827372467705,"score_spread":0.07705191831578995,"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."}}