{"id":"W2052967656","doi":"10.1016/j.agee.2014.11.018","title":"Farmlands with smaller crop fields have higher within-field biodiversity","year":2014,"lang":"en","type":"article","venue":"Agriculture Ecosystems & Environment","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":383,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; Environment and Climate Change Canada; Carleton University","funders":"Environment Canada; Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche; Canada Foundation for Innovation","keywords":"Biodiversity; Agricultural biodiversity; Crop diversity; Agroforestry; Agriculture; Crop; Geography; Abundance (ecology); Land use; Ecology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001327807,0.0002437306,0.0002610219,0.000005880652,0.0003461658,0.000059074,0.0002161813,0.0001618279,0.0004975173],"category_scores_gemma":[0.000003729834,0.00007230838,0.0000860412,0.00006445387,0.00002840164,0.0000735527,0.0001049365,0.0001627415,0.0002819074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003313929,"about_ca_system_score_gemma":0.000001097023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005745919,"about_ca_topic_score_gemma":0.005739166,"domain_scores_codex":[0.998795,0.00005963746,0.0001840407,0.0003887317,0.0002701271,0.0003025049],"domain_scores_gemma":[0.999616,0.00008228094,0.0001224411,0.00004714298,0.00001490547,0.0001172666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002596879,0.0005128634,0.5128551,0.00005592255,0.0003753999,0.00007126793,0.0007223766,0.0001305583,0.3463708,0.0006588966,0.1348006,0.00318646],"study_design_scores_gemma":[0.0003193354,0.0009410752,0.3804043,0.00004105029,0.00005170023,0.00002089906,0.0003337536,0.0000254377,0.009740771,0.00002135836,0.607628,0.0004723122],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922259,0.0001530094,0.0000130159,0.002050674,0.000114076,0.0002057356,0.00004084361,0.00006480219,0.005131981],"genre_scores_gemma":[0.996455,0.00006154764,0.00003111075,0.0005090466,0.0004390814,0.00001970022,0.00005712604,8.055534e-7,0.002426656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4728274,"threshold_uncertainty_score":0.5447465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01529058079187324,"score_gpt":0.1487292949522833,"score_spread":0.13343871416041,"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."}}