{"id":"W2978044663","doi":"","title":"Environmental Issues Regarding Agriculture: Past, Present, and Future","year":2018,"lang":"en","type":"article","venue":"","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agrochemical; Agriculture; Sustainability; Environmental impact of agriculture; Environmental science; Population; Sustainable agriculture; Natural resource economics; Surface runoff; Environmental planning; Urbanization; Environmental protection; Business; Geography; Ecology; Economics; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002121519,0.0003950301,0.0002875153,0.0005734452,0.002671063,0.005472977,0.0007538368,0.002470452,0.006272057],"category_scores_gemma":[0.001742237,0.0001340822,0.0002625323,0.001652051,0.002791985,0.003107204,0.001194216,0.001707091,0.0005823639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006167267,"about_ca_system_score_gemma":0.009789462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1000988,"about_ca_topic_score_gemma":0.3070236,"domain_scores_codex":[0.9988413,0.0001946379,0.00003772685,0.00007768226,0.0006071068,0.0002415065],"domain_scores_gemma":[0.9975381,0.0004525185,0.0002418412,0.00009231825,0.001352185,0.0003230599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001638545,0.0003873258,0.03690315,0.001927055,0.00007171564,0.001618061,0.005470672,0.002460619,0.009494135,0.03964968,0.06664081,0.8352128],"study_design_scores_gemma":[0.000008195695,0.0002194053,0.04659078,0.001741831,0.00009243772,0.001090289,0.05023988,0.001164952,0.00330561,0.0337799,0.8616506,0.000116005],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1322615,0.3039482,0.007461141,0.3036202,0.003520034,0.0001316201,0.0007549826,0.0002256069,0.2480766],"genre_scores_gemma":[0.6528376,0.2563898,0.01365922,0.02202585,0.001682546,0.00005150224,0.0003881538,0.00005587861,0.05290945],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1000988,"threshold_uncertainty_score":0.1990323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008194270425659848,"score_gpt":0.1938769495928732,"score_spread":0.1856826791672133,"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."}}