{"id":"W4400345149","doi":"10.1016/j.agee.2024.109138","title":"Local actors, farmer decisions and landscape crop diversity in smallholder farming systems: A systems perspective","year":2024,"lang":"en","type":"article","venue":"Agriculture Ecosystems & Environment","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Perspective (graphical); Diversity (politics); Agriculture; Crop diversity; Agroforestry; Business; Crop; Environmental planning; Environmental resource management; Geography; Economics; Political science; Environmental science; Computer science; Forestry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004811208,0.000357477,0.0003830222,0.00004817768,0.0005287237,0.0004894577,0.0002515605,0.0002631221,0.0001791926],"category_scores_gemma":[0.00002620955,0.0001240999,0.0001030121,0.0005732465,0.00005523666,0.0005363016,0.0003496011,0.000388413,0.0001264912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003255339,"about_ca_system_score_gemma":0.000007132419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005403109,"about_ca_topic_score_gemma":0.001684512,"domain_scores_codex":[0.9977033,0.0002147315,0.0004714688,0.0007510413,0.0004357097,0.0004237083],"domain_scores_gemma":[0.9990852,0.000445541,0.0001528362,0.00009648928,0.00005931592,0.0001605607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002704481,0.002325323,0.1317579,0.0009571696,0.00192789,0.001600743,0.01837376,0.01041232,0.6271137,0.07202777,0.1020356,0.03119731],"study_design_scores_gemma":[0.0005159884,0.0004349952,0.18815,0.001111291,0.0002123561,0.0005843296,0.08798269,0.005732071,0.0004150182,0.0001161439,0.7132536,0.001491496],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981214,0.01472028,0.0001240353,0.001019099,0.0006165747,0.0008269958,0.0001560415,0.0001179739,0.001204953],"genre_scores_gemma":[0.9971878,0.0009359907,0.00001553827,0.00003424309,0.0004125124,0.0001002774,0.0001214945,0.0000029879,0.001189158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6266987,"threshold_uncertainty_score":0.8167921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02595484231440687,"score_gpt":0.2179077104808131,"score_spread":0.1919528681664062,"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."}}