{"id":"W4416202626","doi":"10.1111/gcb.70583","title":"The Global Spatial Co‐Variation Between Crop Diversity and Landscape Heterogeneity","year":2025,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Crop diversity; Biodiversity; Land cover; Spatial heterogeneity; Crop; Land use; Landscape ecology; Agriculture; Agricultural land","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0008147993,0.0001404394,0.0002653757,0.001153414,0.0001297258,0.0006383348,0.0001686806,0.0001704736,0.001520687],"category_scores_gemma":[0.001761607,0.00009911246,0.0003896221,0.001660347,0.0004440655,0.0005224824,0.0006469567,0.0001821398,0.0001827947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001862544,"about_ca_system_score_gemma":0.00008021962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003357829,"about_ca_topic_score_gemma":0.003674906,"domain_scores_codex":[0.9996147,0.0001073337,0.00002024949,0.0001595738,0.0000490651,0.00004893963],"domain_scores_gemma":[0.9984107,0.0006376033,0.0004657384,0.0002427263,0.0001491158,0.00009411931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004900227,0.000006771745,0.9889364,0.00002544026,0.0003281373,0.00004597897,0.00008663008,0.0019031,0.002707636,0.0001796103,0.000226275,0.005505209],"study_design_scores_gemma":[0.000001608993,0.000008534333,0.9982011,0.000002727135,0.0000153652,0.00003401757,0.00007914438,0.001250201,0.00008842296,0.000153457,0.0001623038,0.000002981871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978347,0.0001409696,0.000652122,0.00002993918,0.000001815355,0.000002244111,0.0007073453,0.00001577268,0.0006150779],"genre_scores_gemma":[0.9993631,0.00002359341,0.0001552676,0.000007126268,0.000001814181,0.000002075057,0.0003976374,0.000003295717,0.00004605967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003357829,"threshold_uncertainty_score":0.006676555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02469196800285485,"score_gpt":0.2845150522769171,"score_spread":0.2598230842740623,"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."}}