{"id":"W2685334428","doi":"10.1126/science.aao0960","title":"Natural selection shaped the rise and fall of passenger pigeon genomic diversity","year":2017,"lang":"en","type":"article","venue":"Science","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":135,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Alberta Environment and Protected Areas; Royal Ontario Museum","funders":"National Center for Research Resources; Villum Fonden; Gordon and Betty Moore Foundation; David and Lucile Packard Foundation","keywords":"Selection (genetic algorithm); Diversity (politics); Natural selection; Biology; Evolutionary biology; Genomic selection; Genetics; Computer science; Political science; Artificial intelligence; Gene; Genotype","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":[0.0001434907,0.00003561788,0.00003233955,0.00001313311,0.0008750494,0.00003767126,0.0002987249,0.00002684275,0.000004855383],"category_scores_gemma":[0.0000458268,0.00002622159,0.00001573984,0.00002817547,0.0004298271,0.000007283487,0.0004601913,0.00003408728,0.000001115115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003724446,"about_ca_system_score_gemma":0.00002513513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008201131,"about_ca_topic_score_gemma":0.0000982265,"domain_scores_codex":[0.9996516,0.00001014239,0.00003443407,0.000133992,0.00009399138,0.00007591328],"domain_scores_gemma":[0.9996898,0.000002084249,0.00005922126,0.0001671922,0.00005799215,0.00002376275],"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":[0.00001381031,0.000002789858,0.3219494,0.0000023828,0.000004083826,1.20447e-7,0.0001417283,0.00001466745,0.6762227,0.00006097511,0.00005475503,0.001532655],"study_design_scores_gemma":[0.0001004998,0.00002300468,0.9755225,0.000001030376,0.000005861731,0.000002677285,0.00004598747,0.0002023173,0.02197116,0.00009696382,0.00198965,0.00003830243],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992877,0.0001420618,0.00005098941,0.0001311049,0.0001359838,0.0000425955,0.000003406116,0.000001515676,0.0002045957],"genre_scores_gemma":[0.9995196,0.00002753013,0.0001456355,0.00002815279,0.00002873291,1.741607e-7,8.169512e-7,8.719034e-7,0.0002484771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6542515,"threshold_uncertainty_score":0.6730261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176847934745501,"score_gpt":0.2408689085110547,"score_spread":0.2291004291635997,"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."}}