{"id":"W2915068792","doi":"10.5539/jas.v11n3p515","title":"A Case Study on the Dairy Project “Full Bucket” in Brazil: Socioeconomic and Environmental Characteristics in Areas Under Its Guidelines","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Wastewater Treatment and Reuse","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Productivity; Legislation; Nutrient; Business; Agricultural science; Geography; Agricultural economics; Environmental science; Socioeconomics; Political science; Economic growth; Economics; Environmental health; Ecology; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0006996557,0.0001361191,0.0001763601,0.00006734522,0.0001097737,0.00008364349,0.0002955554,0.00002974699,0.00009856569],"category_scores_gemma":[0.00002288758,0.00005911184,0.00003665696,0.000188056,0.0001778827,0.0005534076,0.0001751327,0.0001772921,0.0000655013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003729334,"about_ca_system_score_gemma":0.00002135017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001100187,"about_ca_topic_score_gemma":0.0002122305,"domain_scores_codex":[0.998782,0.00006251089,0.0003889655,0.0002214567,0.0003188519,0.0002262489],"domain_scores_gemma":[0.9995456,0.000056916,0.0002172691,0.0001064754,0.00000823154,0.00006551179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003347447,0.0003799599,0.9181336,0.000001892152,0.000008808272,0.0003871958,0.00392501,0.0003679236,0.0762293,0.000005830583,0.0002016536,0.0003253545],"study_design_scores_gemma":[0.000563353,0.000415186,0.9806735,0.00002261964,0.000008239764,0.001565643,0.01595789,0.00008287078,0.0005739323,0.000009428834,0.00001957478,0.0001077576],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983637,0.00001943506,1.292989e-7,0.001004097,0.0001175689,0.000401245,0.000002563358,0.000002412066,0.00008879494],"genre_scores_gemma":[0.9995905,0.00002991322,0.00002737677,0.0001147269,0.00003715553,0.000003653224,4.751961e-7,0.000003211268,0.0001930549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07565537,"threshold_uncertainty_score":0.2410511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02614962637895852,"score_gpt":0.2652714064972371,"score_spread":0.2391217801182786,"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."}}