{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000645562,0.00008188982,0.0001328551,0.00004337092,0.0001939276,0.00002995261,0.0002583684,0.0000168503,0.00002222766],"category_scores_gemma":[0.000151914,0.00002842273,0.00003487282,0.0009875048,0.0001697163,0.0003025233,0.00007471081,0.00002376743,0.000006679365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005759742,"about_ca_system_score_gemma":0.000007042323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000163956,"about_ca_topic_score_gemma":0.000562663,"domain_scores_codex":[0.9989982,0.0000337615,0.0001716289,0.0002916701,0.0002609871,0.0002437629],"domain_scores_gemma":[0.999393,0.0003157732,0.0001536743,0.00002319667,0.000080044,0.00003426807],"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":[0.0002890773,0.0003117365,0.4259797,0.00003607785,0.00003375825,0.000004832522,0.00008742959,0.00001457672,0.4441865,0.03130534,0.0001098556,0.09764113],"study_design_scores_gemma":[0.0002848089,0.000302883,0.9919868,0.00004134732,0.00001158473,1.485657e-7,0.0002062842,0.0002047861,0.004781233,0.000812594,0.001272089,0.00009549217],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997493,0.00005904189,0.0003117092,0.0003777116,0.00005516296,0.0003190291,0.00006695625,0.00001372125,0.001303633],"genre_scores_gemma":[0.9988661,0.0002118467,0.0007044977,0.00001965226,0.00001410761,0.00003173509,0.000002303782,3.95816e-7,0.0001493657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.566007,"threshold_uncertainty_score":0.1491554,"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."}}