{"id":"W1994285842","doi":"10.1073/pnas.0700446104","title":"Sympatric speciation by allochrony in a seabird","year":2007,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":202,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Banco Bilbao Vizcaya Argentaria; Cooper Ornithological Society; Microsoft; Generalitat de Catalunya; Natural Sciences and Engineering Research Council of Canada; Queen's University; European Commission; American Ornithologists' Union","keywords":"Seabird; Sympatric speciation; Genetic algorithm; Biology; Evolutionary biology; Zoology; Computational biology; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001506009,0.00005266022,0.00007803188,0.0000363833,0.0001063797,0.00001076694,0.0003258824,0.000065418,0.00002597242],"category_scores_gemma":[0.00013935,0.00001826535,0.00004332452,0.001107441,0.0002242516,0.0002450001,0.00004632245,0.00009087568,0.000001299884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003750936,"about_ca_system_score_gemma":0.000003779245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000341431,"about_ca_topic_score_gemma":0.000001401969,"domain_scores_codex":[0.9988007,0.000003391228,0.0002341286,0.0001849277,0.000652478,0.0001243521],"domain_scores_gemma":[0.9995992,0.00005631786,0.000212414,0.000001621677,0.0001104555,0.00002000761],"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":[0.00001046045,0.00004338465,0.09467312,0.000004093934,8.611686e-7,1.847073e-9,0.0000339902,0.000002418359,0.8995227,0.001723649,0.0004348084,0.003550522],"study_design_scores_gemma":[0.00003671251,0.00005504813,0.7855873,0.00001307135,0.000002204002,0.000002076449,0.0001652372,0.00001686794,0.2112144,0.002450252,0.0004163962,0.00004045073],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948235,0.00009428419,1.193096e-7,0.001901069,0.00001435331,0.000106427,0.000005225422,0.000007612821,0.003047459],"genre_scores_gemma":[0.9995742,0.00002184297,0.00007217698,0.000065101,0.0001182509,0.00000174552,2.27797e-7,2.514076e-7,0.0001461365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6909142,"threshold_uncertainty_score":0.08262645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03494163970759018,"score_gpt":0.2787485646183075,"score_spread":0.2438069249107174,"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."}}