{"id":"W2901467993","doi":"10.1038/sdata.2018.249","title":"GloPL, a global data base on pollen limitation of plant reproduction","year":2018,"lang":"en","type":"article","venue":"Scientific Data","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo; Deutsche Forschungsgemeinschaft; Alexander von Humboldt-Stiftung; Case Western Reserve University; National Science Foundation","keywords":"Pollen; Plant reproduction; Pollination; Biology; Outcrossing; Pollen source; Biome; Stamen; Reproduction; Pollinator; Botany; Abiotic component; Zoophily; Ecology; Ecosystem","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":[0.000835578,0.00007055169,0.00009190194,0.000008289036,0.0003294778,0.00009171371,0.001142119,0.0000252401,0.00009276435],"category_scores_gemma":[0.00034404,0.0000266571,0.000012892,0.0004258777,0.0002206038,0.0003071146,0.0008606911,0.00002978111,0.0001929285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009334616,"about_ca_system_score_gemma":0.00001022831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001712048,"about_ca_topic_score_gemma":0.004183932,"domain_scores_codex":[0.9986389,0.00003275571,0.0001463031,0.0007596417,0.000267113,0.0001553237],"domain_scores_gemma":[0.999379,0.00004493297,0.00008403065,0.0003878157,0.00006579289,0.00003843348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009930993,0.0001515485,0.004017229,0.000006596121,0.00001671399,0.00000235574,0.00004488244,1.716335e-7,0.0854662,0.0003710475,0.8562663,0.05355765],"study_design_scores_gemma":[0.0001277196,0.0003247019,0.2283722,0.00005610769,0.00002541184,0.000009771912,0.0004494554,0.0006980843,0.00314469,0.0005185249,0.7660894,0.0001838815],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9234622,0.0001542165,0.000003074352,0.001867565,0.0006730956,0.0001417598,0.07175786,0.00004684795,0.001893385],"genre_scores_gemma":[0.9771206,0.0000254746,0.0002023166,0.00004864614,0.0005421315,9.74469e-7,0.02146554,3.296921e-7,0.0005939381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.224355,"threshold_uncertainty_score":0.253411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.292284396659378,"score_gpt":0.2916824247721601,"score_spread":0.0006019718872179447,"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."}}