{"id":"W4409281509","doi":"10.1016/j.agee.2025.109682","title":"Pollinators utilize both traditional and forb-supplemented set-aside fields in agriculture","year":2025,"lang":"en","type":"article","venue":"Agriculture Ecosystems & Environment","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Government of Canada","keywords":"Forb; Pollinator; Aside; Set-aside; Agroforestry; Agriculture; Biology; Pollination; Geography; Agronomy; Ecology; Linguistics; Grassland; 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":[0.0001626741,0.000281564,0.0003273944,0.00001971957,0.0002665387,0.00005721609,0.0001764549,0.0001975983,0.0002337844],"category_scores_gemma":[0.00001019583,0.0001006762,0.0001009025,0.0002307842,0.00003587602,0.0001048844,0.00008152663,0.0002076171,0.00002122079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009753181,"about_ca_system_score_gemma":0.000003666416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004847443,"about_ca_topic_score_gemma":0.01359117,"domain_scores_codex":[0.998495,0.00007487922,0.0003588118,0.0004614863,0.0002384233,0.000371408],"domain_scores_gemma":[0.9996364,0.0001326815,0.00009551793,0.00003418247,0.00001011415,0.00009111846],"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":[0.00009617009,0.0007850485,0.2048736,0.0001291068,0.000274467,0.00008223129,0.0006344572,0.00003374982,0.6330463,0.00666452,0.1489888,0.004391533],"study_design_scores_gemma":[0.0004107923,0.0001661706,0.7219707,0.0001178828,0.00003158761,0.00002065712,0.001657537,0.00002864037,0.004585064,0.0004057717,0.2702817,0.0003234874],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920076,0.001774918,0.000003936009,0.003115011,0.0001104608,0.0005018974,0.0003539919,0.00004560397,0.002086602],"genre_scores_gemma":[0.9971996,0.0007176904,0.0000244472,0.0002777423,0.0002023508,0.0001059369,0.0002939583,9.553515e-7,0.001177324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6284612,"threshold_uncertainty_score":0.7584189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02124699062351196,"score_gpt":0.1838711632980451,"score_spread":0.1626241726745331,"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."}}