{"id":"W2290164625","doi":"10.1098/rsos.150623","title":"DNA barcoding to identify leaf preference of leafcutting bees","year":2016,"lang":"en","type":"article","venue":"Royal Society Open Science","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Megachilidae; Biology; Botany; DNA barcoding; Hymenoptera; Leaf beetle; Perennial plant; Ecology; Pollination; Pollen; Larva; Pollinator","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009323455,0.0001066064,0.0001782604,0.000005219259,0.0006806524,0.0001921275,0.001692328,0.00003376696,0.0003000898],"category_scores_gemma":[0.0002113021,0.00003388803,0.00008323861,0.000531474,0.0003205707,0.0003591461,0.001397907,0.00004664055,0.00009073341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003653187,"about_ca_system_score_gemma":0.00002211677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003404277,"about_ca_topic_score_gemma":0.0002924928,"domain_scores_codex":[0.9985558,0.00001957843,0.0001886515,0.0004308775,0.0004080803,0.0003969513],"domain_scores_gemma":[0.9994286,0.0001959211,0.00008723266,0.00004174407,0.0001182115,0.0001282982],"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":[0.000006327986,0.00001707875,0.02121568,0.00000268156,0.000003838345,3.037042e-7,0.0002343759,8.612594e-7,0.9454892,0.0003280457,0.00185436,0.0308472],"study_design_scores_gemma":[0.0001008302,0.000163971,0.8926445,0.0001393572,0.000004804675,9.850173e-7,0.001006725,0.00003709114,0.09857034,0.0002561936,0.006869725,0.0002054525],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916772,0.00003882523,0.000025518,0.001607326,0.00004864306,0.0001785899,0.00003095002,0.00002540425,0.006367539],"genre_scores_gemma":[0.9972693,0.00002691904,0.0006265249,0.0002064065,0.00007203957,0.000009633554,5.265037e-7,5.098081e-7,0.001788099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8714288,"threshold_uncertainty_score":0.5235096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1019428796560739,"score_gpt":0.2969540657353593,"score_spread":0.1950111860792853,"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."}}