{"id":"W3164920501","doi":"10.1016/j.tree.2021.03.013","title":"Time to Integrate Pollinator Science into Soybean Production","year":2021,"lang":"en","type":"article","venue":"Trends in Ecology & Evolution","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Consejo Nacional de Investigaciones Científicas y Técnicas","keywords":"Pollinator; Pollination; Hectare; Biodiversity; Agroforestry; Productivity; Habitat; Production (economics); Agriculture; Biology; Geography; Agronomy; Ecology; Economics; Pollen","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":[0.0002958477,0.00008745091,0.0001319675,0.00006274102,0.0002926523,0.00001844348,0.0001386091,0.00005705318,0.0004567672],"category_scores_gemma":[0.0001705236,0.00003941903,0.00003156576,0.001462766,0.0001723037,0.0001314506,0.0001059055,0.00009083972,0.0003481098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002004257,"about_ca_system_score_gemma":0.00002102003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000967774,"about_ca_topic_score_gemma":0.01735353,"domain_scores_codex":[0.9990517,0.00004919269,0.000138076,0.0003637766,0.0001107669,0.0002864773],"domain_scores_gemma":[0.9997607,0.00003112889,0.00003523185,0.00002484423,0.00009213941,0.00005593157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00003492467,0.0001343308,0.07973319,0.000001452099,0.000005206289,0.000008271144,0.0001771301,0.00001641092,0.8674226,0.0003992488,0.002778172,0.04928901],"study_design_scores_gemma":[0.00004743541,0.0001538704,0.9906778,0.000008176286,0.000003918872,0.00001074222,0.0002251178,0.00009585478,0.005282376,0.0005910392,0.002804871,0.00009884983],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918234,0.00007871928,5.121012e-7,0.005944749,0.0001711611,0.00004457772,0.000005982194,0.00004569092,0.001885185],"genre_scores_gemma":[0.9959363,0.000007736181,0.00009439949,0.00008833117,0.0001589528,0.00001315926,0.00001674842,4.337046e-7,0.003683952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9109446,"threshold_uncertainty_score":0.968368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02191053162549979,"score_gpt":0.2379288990331827,"score_spread":0.2160183674076828,"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."}}