{"id":"W4408764419","doi":"10.21083/ruralreview.v9i1.8320","title":"Global Greenbelt Assessment","year":2025,"lang":"en","type":"article","venue":"Rural Review Ontario Rural Planning Development and Policy","topic":"Plant Ecology and Soil Science","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Environmental planning; Environmental science; Environmental resource management; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003506192,0.001192741,0.0004314976,0.005819535,0.0008163584,0.003025442,0.001321229,0.001062398,0.02312924],"category_scores_gemma":[0.003675899,0.0002403102,0.0007296226,0.005258769,0.0005648026,0.003081922,0.003425607,0.001151576,0.003770563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003964145,"about_ca_system_score_gemma":0.01014589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03929808,"about_ca_topic_score_gemma":0.04825152,"domain_scores_codex":[0.9981324,0.0002858817,0.00005537094,0.0001817539,0.001085525,0.0002590892],"domain_scores_gemma":[0.9982111,0.0001104341,0.00008741735,0.0001003061,0.001331179,0.0001594221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001398746,0.00007732252,0.009196417,0.001661718,0.000177987,0.0002921592,0.0005802237,0.01250466,0.001030914,0.1268528,0.4274124,0.4200736],"study_design_scores_gemma":[0.00001487204,0.00005941402,0.009207189,0.000560628,0.00004210996,0.00009405636,0.0009043427,0.001706182,0.0006946995,0.01821809,0.9684734,0.00002495628],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02278079,0.01930207,0.01373433,0.01486045,0.002953944,0.0004821371,0.02545162,0.001432346,0.8990024],"genre_scores_gemma":[0.5294718,0.05648869,0.0362711,0.006164195,0.0006416926,0.001514041,0.06953387,0.001396192,0.2985185],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03929808,"threshold_uncertainty_score":0.07813871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01118655303199553,"score_gpt":0.3056648406293879,"score_spread":0.2944782875973924,"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."}}