{"id":"W2806526072","doi":"10.1007/s10113-018-1335-5","title":"Reducing external costs of nitrogen pollution by relocation of pig production between regions in the European Union","year":2018,"lang":"en","type":"article","venue":"Regional Environmental Change","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Waterloo","keywords":"Relocation; European union; Per capita; Production (economics); Stock (firearms); Environmental protection; Agricultural science; Economic impact analysis; Agricultural economics; Environmental science; Geography; Business; Natural resource economics; Economics; International trade","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009957753,0.0001636499,0.000147953,0.00004468807,0.0001310045,0.00000716767,0.0002702737,0.00006989367,0.000121899],"category_scores_gemma":[0.00002150124,0.0001238782,0.00007127148,0.0002413372,0.001147812,0.0004571986,0.0001343969,0.0001447738,0.00005211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006623891,"about_ca_system_score_gemma":0.000003318023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001767951,"about_ca_topic_score_gemma":0.000071371,"domain_scores_codex":[0.9980223,0.0005781269,0.0003304746,0.0003319316,0.000501666,0.0002355262],"domain_scores_gemma":[0.9993642,0.0000286518,0.0002412774,0.0003001368,0.000003311523,0.00006240516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001039875,0.001482858,0.6236752,0.00004438292,0.00003507912,0.000005566051,0.01244838,0.0003250811,0.2966597,0.0001896165,0.007124383,0.0579057],"study_design_scores_gemma":[0.000257165,0.000290471,0.9819757,0.00006908241,0.00002798858,0.00002762845,0.002615046,0.00002434056,0.01198426,0.0006227995,0.001935676,0.000169867],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955026,0.000140491,0.0003422881,0.002242319,0.00004170316,0.000520722,0.00002805088,0.000009781661,0.001172064],"genre_scores_gemma":[0.9991542,0.0001243597,0.0001252059,0.0001115284,0.0002503998,0.00002122969,0.00009287977,0.00001476489,0.0001054517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3583004,"threshold_uncertainty_score":0.5051605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02546774737649094,"score_gpt":0.2335849832904727,"score_spread":0.2081172359139818,"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."}}