{"id":"W2519355360","doi":"10.1139/cjb-2016-0145","title":"Bee, hummingbird, or mixed-pollinated <i>Salvia</i> species mirror pathways to pollination optimization: a morphometric analysis based on the Pareto front concept","year":2016,"lang":"en","type":"article","venue":"Botany","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Consejo Nacional de Ciencia y Tecnología; Consejo Nacional de Investigaciones Científicas y Técnicas; Fondo para la Investigación Científica y Tecnológica; Fondo Nacional de Ciencia y Tecnología; Universidad Nacional de Córdoba; Alexander von Humboldt-Stiftung","keywords":"Pollination; Hummingbird; Pollinator; Biology; Nectar; Zoophily; Passiflora; Botany; Pollen","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003106582,0.0001886821,0.0001429573,0.0006256928,0.0002172669,0.0004557084,0.0001779279,0.0001504662,0.001291645],"category_scores_gemma":[0.0005660499,0.0000610779,0.0005005999,0.0002265907,0.000472464,0.0002216118,0.0002942664,0.0001438876,0.00007148374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004827612,"about_ca_system_score_gemma":0.0002435022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001530428,"about_ca_topic_score_gemma":0.001181503,"domain_scores_codex":[0.9999467,0.0000168052,0.00000291666,0.00001118388,0.00001199324,0.00001042893],"domain_scores_gemma":[0.9998074,0.00008859744,0.00004700167,0.00001609707,0.00002497719,0.00001593772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004774815,0.0002010891,0.09507813,0.0002996204,0.0003175303,0.0004051935,0.0006166885,0.4354323,0.2287823,0.09833954,0.0008777734,0.1391723],"study_design_scores_gemma":[0.00003625874,0.0002015698,0.1009142,0.00002531973,0.00007910035,0.0003170959,0.0003376476,0.8515822,0.01732999,0.02724761,0.00189748,0.00003139345],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9485688,0.00008429505,0.04718766,0.00005268795,0.000002162506,0.00001606337,0.00006011974,0.0000217761,0.004006511],"genre_scores_gemma":[0.9883209,0.00003854242,0.01108813,0.000007546933,0.00000197142,0.00001398168,0.00003883963,0.000006535713,0.0004834957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001530428,"threshold_uncertainty_score":0.00432092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05417455903385512,"score_gpt":0.2143855013314591,"score_spread":0.160210942297604,"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."}}