{"id":"W4413150879","doi":"10.1088/1748-9326/adfaf5","title":"Low-hanging fruit? Identifying opportunities to enhance crop diversity in the United States","year":2025,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Diversity (politics); Crop; Crop diversity; Agroforestry; Environmental science; Geography; Political science; Forestry","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":[0.0006922107,0.0001334444,0.0001891243,0.0003324977,0.000318563,0.0008318194,0.0005479672,0.0004127226,0.001759469],"category_scores_gemma":[0.001236364,0.00009449577,0.000235502,0.0004728251,0.000339736,0.0005984243,0.0006696918,0.0004290469,0.00008021703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001249568,"about_ca_system_score_gemma":0.0005449859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03628815,"about_ca_topic_score_gemma":0.0765723,"domain_scores_codex":[0.9998323,0.0000641814,0.000004130895,0.00004115593,0.0000169378,0.00004131767],"domain_scores_gemma":[0.9995819,0.0001291613,0.00009266342,0.00003401301,0.00005255318,0.0001096758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002819347,0.0003849205,0.8230003,0.0001125505,0.0002070799,0.0005265948,0.0005514002,0.09587082,0.002666793,0.02005333,0.00941198,0.04693239],"study_design_scores_gemma":[0.00008652158,0.000378036,0.6870536,0.00009499149,0.00008952187,0.000148218,0.003031086,0.2696056,0.001085924,0.02470714,0.01367484,0.00004461588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910502,0.0002636602,0.001671158,0.0015828,0.000009059989,0.00001378514,0.0008300818,0.00002456565,0.004554567],"genre_scores_gemma":[0.9989744,0.00007134229,0.00051932,0.0001002692,0.000002677315,0.000003981951,0.0001557763,0.000001943878,0.0001702859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03628815,"threshold_uncertainty_score":0.07215387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1398835505283371,"score_gpt":0.3513037472431594,"score_spread":0.2114201967148223,"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."}}