{"id":"W3011509428","doi":"10.21083/ruralreview.v3i1.6011","title":"Understanding the Impacts of Aggregate Production on Agriculture and Identifying Mitigating Strategies","year":2019,"lang":"en","type":"article","venue":"Rural Review Ontario Rural Planning Development and Policy","topic":"Agroforestry and silvopastoral systems","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Agriculture, Food and Rural Affairs; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Agriculture; Business; Environmental planning; Production (economics); Economic impact analysis; Agricultural productivity; Land use; Environmental resource management; Natural resource economics; Environmental science; Economics; Geography; Engineering; Civil engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003443973,0.0001898632,0.0002824038,0.00001592484,0.0003446383,0.0001118719,0.0001090069,0.00005874055,0.00002477501],"category_scores_gemma":[0.00003469102,0.00006126598,0.00004684224,0.0002152763,0.00004882142,0.0002725284,0.00004290047,0.0001835698,0.000007411405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001179283,"about_ca_system_score_gemma":0.00005000699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00534792,"about_ca_topic_score_gemma":0.006302537,"domain_scores_codex":[0.9989836,0.00006203048,0.0003224323,0.0001653821,0.000210333,0.0002562359],"domain_scores_gemma":[0.9995242,0.00008288783,0.0002462012,0.00004469986,0.00002696188,0.00007508618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001457366,0.00005592596,0.7771014,0.003298196,0.0002219232,0.00001143897,0.01858619,0.00006518664,0.1394446,0.01359214,0.004265653,0.04321167],"study_design_scores_gemma":[0.000179716,0.0002206749,0.9590796,0.01569909,0.00003682239,0.00009748615,0.01102803,0.000003898593,0.001650624,0.001007665,0.01056544,0.0004309423],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918427,0.005584989,8.014927e-7,0.001417393,0.0001117546,0.0004254914,0.000001952483,0.00002120194,0.0005937035],"genre_scores_gemma":[0.9980823,0.0008201406,0.00002031553,0.000196847,0.0001530748,0.000008227315,0.00003922136,0.000001147018,0.0006787013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1819782,"threshold_uncertainty_score":0.808449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05893452566508389,"score_gpt":0.2752643797121012,"score_spread":0.2163298540470173,"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."}}