{"id":"W2403805054","doi":"10.1002/ps.4321","title":"Sugar concentration in nectar: a quantitative metric of crop attractiveness for refined pollinator risk assessments","year":2016,"lang":"en","type":"article","venue":"Pest Management Science","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stantec (Canada)","funders":"European Food Safety Authority; California Department of Pesticide Regulation; U.S. Environmental Protection Agency","keywords":"Attractiveness; Nectar; Pollinator; Metric (unit); Biology; Ecology; Pollination; Business; Marketing; Psychology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002781701,0.0009107869,0.0006549846,0.002405281,0.0003290517,0.001397749,0.0006023452,0.0008000908,0.001855995],"category_scores_gemma":[0.005708278,0.0002865029,0.0007529136,0.001211945,0.0005778202,0.001444459,0.001183723,0.001227556,0.0004466733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005822442,"about_ca_system_score_gemma":0.0003159404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001331734,"about_ca_topic_score_gemma":0.002016221,"domain_scores_codex":[0.9986853,0.0005528378,0.0001149896,0.0001571645,0.0004404809,0.00004925271],"domain_scores_gemma":[0.9971866,0.001139154,0.0006365608,0.000364732,0.0005298242,0.0001431365],"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":[0.001188341,0.0003943952,0.1645925,0.001990059,0.0007373534,0.0008167796,0.00110584,0.06558564,0.4688095,0.01869971,0.003237669,0.2728422],"study_design_scores_gemma":[0.00006198817,0.003440771,0.4116018,0.000454692,0.0005990127,0.002387442,0.001724217,0.3050945,0.2159359,0.03755328,0.02052299,0.0006233958],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4317957,0.004532343,0.5484531,0.0006767451,0.0001875394,0.0004479751,0.001743177,0.0006837854,0.01147952],"genre_scores_gemma":[0.8136495,0.001318099,0.1816366,0.0001204573,0.0000488656,0.0001424609,0.0007275415,0.00009176451,0.002264789],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002781701,"threshold_uncertainty_score":0.01471126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06476847581204728,"score_gpt":0.3074433730811342,"score_spread":0.2426748972690869,"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."}}