{"id":"W2790341183","doi":"10.1002/eap.1713","title":"Complementary crops and landscape features sustain wild bee communities","year":2018,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Liber Ero Foundation; Canada Research Chairs; Agence Nationale de la Recherche; McGill University; Killam Trusts; Labex OT-Med","keywords":"Pollinator; Pollination; Biology; Ecology; Foraging; Species richness; Forage; Agroforestry; Pollen","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000213752,0.0001264479,0.0002088062,0.0007433667,0.001319798,0.001305101,0.0003531119,0.0002951076,0.002781349],"category_scores_gemma":[0.0005649081,0.0001378115,0.000126778,0.0006469579,0.0006931488,0.00038596,0.0007374989,0.0002218587,0.000234621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002582427,"about_ca_system_score_gemma":0.001513002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3906957,"about_ca_topic_score_gemma":0.7729139,"domain_scores_codex":[0.999785,0.00002990668,0.00000558271,0.00005277789,0.00003449175,0.0000922367],"domain_scores_gemma":[0.9994081,0.00004999011,0.0001424901,0.00003781827,0.000112714,0.0002488716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007318408,0.00006566338,0.9703847,0.00003340886,0.00006585779,0.0002304935,0.002710142,0.0002715841,0.00772425,0.000581016,0.0006726984,0.01718709],"study_design_scores_gemma":[0.000001749049,0.000008814255,0.9976157,0.000006181998,0.000004349168,0.00002400191,0.001421715,0.0001746003,0.00003925489,0.00007956688,0.0006204892,0.000003669856],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980027,0.00009451466,0.0001228438,0.00005069984,0.00000140086,0.00001031071,0.0001615111,0.00000559426,0.001550431],"genre_scores_gemma":[0.9994459,0.00003342342,0.00009902408,0.00001899381,0.000001705826,0.000003639939,0.00006885289,0.000002109884,0.0003264588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3906957,"threshold_uncertainty_score":0.7768431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03561289980618757,"score_gpt":0.2376406091489955,"score_spread":0.2020277093428079,"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."}}