{"id":"W4408460938","doi":"10.21083/ruralreview.v7i1.7394","title":"Protecting the Future of the Agri-food Sector Exploring Innovative Tools for Farmland Preservation and Agri-Environmental Stewardship","year":2023,"lang":"en","type":"article","venue":"Rural Review Ontario Rural Planning Development and Policy","topic":"Agricultural Systems and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Stewardship (theology); Environmental stewardship; Business; Environmental planning; Environmental resource management; Agriculture; Natural resource economics; Environmental protection; Environmental science; Geography; Economics; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.001486242,0.0002188326,0.000191167,0.0007028778,0.003020382,0.005468994,0.000711307,0.001234329,0.004716625],"category_scores_gemma":[0.001213314,0.0001132585,0.0001894475,0.001517711,0.005622806,0.002124801,0.00132746,0.0007981133,0.0005012311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03261243,"about_ca_system_score_gemma":0.08187639,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7924333,"about_ca_topic_score_gemma":0.9288661,"domain_scores_codex":[0.9991398,0.0001568342,0.00001830493,0.00005287074,0.0003466156,0.000285562],"domain_scores_gemma":[0.9987361,0.0001897702,0.00009575437,0.00004946053,0.0006061502,0.0003228731],"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":[0.00005513146,0.00006626402,0.01262498,0.004198823,0.00004807399,0.0007262353,0.02404144,0.001188333,0.003746666,0.2989376,0.1680807,0.4862858],"study_design_scores_gemma":[0.000003990495,0.00002073758,0.01357557,0.001094994,0.00001531225,0.00007472307,0.01267453,0.0001496389,0.0003076358,0.01135563,0.9607131,0.00001404531],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06487493,0.3262135,0.003263379,0.2202284,0.001327016,0.0001248232,0.0004505873,0.0001134973,0.3834038],"genre_scores_gemma":[0.5881171,0.3087431,0.005764325,0.007581594,0.0002779029,0.00005390415,0.0002098127,0.00003739643,0.08921485],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2075667,"threshold_uncertainty_score":0.4175782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0978877723751568,"score_gpt":0.2670467071486573,"score_spread":0.1691589347735005,"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."}}