{"id":"W2557237715","doi":"10.1111/nph.14356","title":"Forecasting pollination declines through DNA barcoding: the potential contributions of macroecological and macroevolutionary scales of inquiry","year":2016,"lang":"en","type":"review","venue":"New Phytologist","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Guelph; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Pollinator; Pollination; DNA barcoding; Biology; Ecology; Extinction (optical mineralogy); Ecosystem services; Biodiversity; Ecosystem; Evolutionary biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002690602,0.0006509924,0.001421941,0.003308304,0.0002334593,0.001052073,0.001286209,0.001436175,0.001089405],"category_scores_gemma":[0.004404661,0.000255395,0.0005916889,0.002439217,0.000642285,0.001843598,0.0006310801,0.001136551,0.0004840481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006589552,"about_ca_system_score_gemma":0.001562904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002922452,"about_ca_topic_score_gemma":0.005569083,"domain_scores_codex":[0.999509,0.0001058508,0.00007996993,0.0001138965,0.0001644109,0.00002689392],"domain_scores_gemma":[0.9967834,0.002091817,0.0004416613,0.0000687323,0.0005328554,0.00008157517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002391227,0.00001962941,0.001927313,0.01702642,0.0002072374,0.0001483092,0.0001459764,0.000396273,0.0007614164,0.001834676,0.006589778,0.9709191],"study_design_scores_gemma":[0.00001837282,0.0001689216,0.02189567,0.02443433,0.00105141,0.002766644,0.0008881561,0.0008290535,0.001516553,0.006474492,0.9398382,0.0001181027],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003226377,0.9981528,0.0003475927,0.0006256328,0.0001232665,0.000004001232,0.00002744155,0.000006498439,0.000390022],"genre_scores_gemma":[0.002709215,0.9957321,0.0008725937,0.0002973557,0.0001304341,0.000008407864,0.00004476275,0.000002476976,0.0002025567],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003308304,"threshold_uncertainty_score":0.01422942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1367968615007836,"score_gpt":0.3226060783636282,"score_spread":0.1858092168628446,"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."}}