{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002443996,0.0001674591,0.0004217303,0.001370558,0.001004279,0.0008645798,0.0002623291,0.0002207168,0.01072279],"category_scores_gemma":[0.0006899853,0.0001376373,0.0001998846,0.001538244,0.0005124037,0.0007300767,0.0004345313,0.0001939855,0.0006973313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005645886,"about_ca_system_score_gemma":0.0002478207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006682696,"about_ca_topic_score_gemma":0.03368109,"domain_scores_codex":[0.9997976,0.00003404801,0.00001335003,0.0000736631,0.00003018218,0.00005113107],"domain_scores_gemma":[0.9988552,0.000238824,0.0004291892,0.0001181491,0.0001515095,0.000207234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002007451,0.0002083381,0.9542165,0.0001884064,0.0003290155,0.0001387863,0.00135884,0.0005107789,0.01450428,0.001034894,0.0007216028,0.02658767],"study_design_scores_gemma":[0.000001537212,0.0000172298,0.998147,0.000005354347,0.00001322214,0.00006275943,0.0005893716,0.00006612887,0.0001710605,0.0001641559,0.0007592302,0.000002866476],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948747,0.0001333334,0.0004377273,0.00001880311,0.000003220391,0.000006300255,0.0004164051,0.00001369937,0.004095885],"genre_scores_gemma":[0.9977266,0.00006923854,0.0004764187,0.00002020654,0.00000434871,0.00000676424,0.0004518008,0.000008294836,0.001236267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01072279,"threshold_uncertainty_score":0.03587127,"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."}}