{"id":"W1996343965","doi":"10.1016/j.baae.2006.06.003","title":"Can pastureland increase wild bee abundance in agriculturally intense areas?","year":2006,"lang":"en","type":"article","venue":"Basic and Applied Ecology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":136,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Canola Council of Canada","keywords":"Pollinator; Agroecosystem; Abundance (ecology); Pollination; Agriculture; Ecosystem services; Ecosystem; Agroforestry; Agricultural land; Ecology; Sustainability; Crop; Pasture; Land use; Geography; Biology; Pollen","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":[0.00008319858,0.0001421324,0.0002248094,0.000009507908,0.0001611242,0.0000240675,0.00008870083,0.00009729788,0.0000499719],"category_scores_gemma":[0.000008012827,0.00005223006,0.00002737951,0.0001328245,0.0001137852,0.00002615696,0.0000689054,0.00011395,0.00001577582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001777116,"about_ca_system_score_gemma":0.000003393421,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001204324,"about_ca_topic_score_gemma":0.09250241,"domain_scores_codex":[0.9991977,0.00002016504,0.0001600553,0.0002668724,0.00005878732,0.0002964527],"domain_scores_gemma":[0.9997372,0.0001303203,0.00005337168,0.00001139749,0.00001541268,0.00005231314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001544754,0.0001397461,0.8491776,0.000009011034,0.00001521509,0.00004729814,0.00009887008,0.000004885876,0.1258812,0.009075984,0.007912169,0.007483595],"study_design_scores_gemma":[0.000250606,0.00007850127,0.9928077,0.000006409,0.000006856696,0.00002134999,0.0002626807,0.000002606953,0.0001832879,0.002419443,0.003808295,0.0001522314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992236,0.0001750284,1.18621e-7,0.002019342,0.00002090995,0.0001488212,0.0000332446,0.00003444318,0.005332141],"genre_scores_gemma":[0.9986919,0.00008512168,0.00001453428,0.0005649322,0.0002030311,0.00003552365,0.00004255887,6.369531e-7,0.0003617472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1436302,"threshold_uncertainty_score":0.9240571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008783045142525857,"score_gpt":0.1628454806373062,"score_spread":0.1540624354947803,"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."}}