{"id":"W2106325139","doi":"10.1146/annurev.ecolsys.110308.120310","title":"The Role of Animal Pollination in Plant Speciation: Integrating Ecology, Geography, and Genetics","year":2009,"lang":"en","type":"article","venue":"Annual Review of Ecology Evolution and Systematics","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":342,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Genetic algorithm; Pollinator; Pollination; Biology; Reproductive isolation; Ecological speciation; Ecology; Evolutionary biology; Diversification (marketing strategy); Genetic variation; Gene flow; Population; Pollen; Sociology","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":[0.0006386102,0.00007192701,0.0003026481,0.0000148481,0.000111299,0.000005848,0.00006718717,0.00005826493,0.000003748176],"category_scores_gemma":[0.0002195972,0.00002636665,0.00003574372,0.0001323226,0.00007655713,0.00003593399,0.00002595906,0.00005220923,5.315213e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001206897,"about_ca_system_score_gemma":0.000005617575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001552325,"about_ca_topic_score_gemma":0.001445043,"domain_scores_codex":[0.9991237,0.0001371817,0.0004631578,0.00009028337,0.00007820816,0.0001074607],"domain_scores_gemma":[0.9992089,0.0003651697,0.0002847292,0.00001687723,0.0001045384,0.00001975683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000533505,0.0001673483,0.8852696,0.002249036,0.00005035052,0.00000199347,0.0004464635,5.8957e-7,0.005976786,0.07140998,0.0004760882,0.03389841],"study_design_scores_gemma":[0.00005570222,0.0005747205,0.9942823,0.0009269104,0.00001955707,0.00001197559,0.001389534,0.0003047604,0.00002260333,0.001641601,0.0007194232,0.00005089073],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9217868,0.0763915,8.194846e-7,0.0008598493,0.00002434352,0.0003098544,0.00005045492,0.000004748632,0.0005716156],"genre_scores_gemma":[0.9624699,0.03736513,0.00004822329,0.00006652975,0.00003090287,0.000005313995,0.000007191386,2.316974e-7,0.000006535218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1090127,"threshold_uncertainty_score":0.1075201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01496453852910862,"score_gpt":0.2327657404857368,"score_spread":0.2178012019566282,"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."}}