{"id":"W2131228867","doi":"10.1111/jeb.12741","title":"Pollen limitation and its influence on natural selection through seed set","year":2015,"lang":"en","type":"article","venue":"Journal of Evolutionary Biology","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Pollen; Pollinator; Selection (genetic algorithm); Natural selection; Trait; Population; Ecology; Zoology; Pollination; Demography; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001281672,0.00006970279,0.0001233889,0.00001425197,0.0001115272,0.00000761876,0.00006632315,0.000062828,0.000006303379],"category_scores_gemma":[0.0001751312,0.00002532529,0.00003392991,0.0001200604,0.0000366795,0.0001802579,0.00002439094,0.0001218854,0.00001196823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003496261,"about_ca_system_score_gemma":0.00001248244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002146439,"about_ca_topic_score_gemma":0.00005473289,"domain_scores_codex":[0.9994764,0.00007275352,0.0001628838,0.00008606069,0.00008723446,0.0001146092],"domain_scores_gemma":[0.9994553,0.0001404843,0.0001453613,0.000004885947,0.0002090775,0.0000449231],"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":[0.0009604156,0.0001263189,0.3483126,0.000005855771,0.00009423699,0.00001333181,0.000400618,0.00009433399,0.6296107,0.005085484,0.01266966,0.002626436],"study_design_scores_gemma":[0.0002016651,0.001435193,0.9798701,0.00001508876,0.000008421281,0.0001962368,0.0002306335,0.0001116052,0.0002709235,0.003204014,0.01438133,0.00007475038],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948992,0.002407042,8.396955e-7,0.002320086,0.00009961017,0.00003828752,0.00001618864,0.000009132002,0.0002096762],"genre_scores_gemma":[0.9989852,0.000263774,0.00008345951,0.0002422001,0.0003292539,7.911192e-7,0.00001042191,2.935341e-7,0.00008463425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6315575,"threshold_uncertainty_score":0.1032735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07748659353356349,"score_gpt":0.2638830512306428,"score_spread":0.1863964576970793,"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."}}