{"id":"W2953253173","doi":"10.1101/154294","title":"Natural selection shaped the rise and fall of passenger pigeon genomic diversity","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Alberta Environment and Protected Areas; Royal Ontario Museum","funders":"National Institutes of Health; H. Lundbeck A/S; Lundbeckfonden; David and Lucile Packard Foundation; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Ciência sem Fronteiras; Gordon and Betty Moore Foundation","keywords":"Selection (genetic algorithm); Biology; Evolutionary biology; Extinction (optical mineralogy); Genome; Genetic diversity; Natural selection; Population; Diversity (politics); Vertebrate; Adaptive evolution; Genetics; Gene; Computer science; Demography; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004366983,0.0001691688,0.0002056769,0.0009114896,0.0003645235,0.0007139988,0.0003000689,0.0004973175,0.001504478],"category_scores_gemma":[0.0009223559,0.0001632993,0.000209489,0.000464333,0.001050447,0.0005161372,0.0004873414,0.0005019301,0.0001684281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004826724,"about_ca_system_score_gemma":0.0001518682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002134003,"about_ca_topic_score_gemma":0.00355487,"domain_scores_codex":[0.9997818,0.00003894997,0.000006744179,0.0001117686,0.00002407012,0.00003663498],"domain_scores_gemma":[0.999588,0.0001278088,0.00009957088,0.00004913806,0.00006543214,0.00007006321],"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":[0.0007756596,0.00005523437,0.4358255,0.0000815106,0.0002507718,0.0004693918,0.001675991,0.001907012,0.5404046,0.003393819,0.0003662999,0.0147942],"study_design_scores_gemma":[0.00001038911,0.00007782033,0.9899235,0.000008620717,0.00003408526,0.0002121069,0.0005343606,0.001884536,0.005379708,0.0008683394,0.001048529,0.00001790841],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987705,0.00008350165,0.0005020162,0.00003949763,0.00000319494,0.000002136411,0.00007592153,0.000008703861,0.0005145104],"genre_scores_gemma":[0.9995649,0.00002168704,0.0001854055,0.00002616817,0.000002560653,0.000001747063,0.00005870279,0.000005966679,0.0001328179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002134003,"threshold_uncertainty_score":0.005033016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01131136736636877,"score_gpt":0.2083818490502167,"score_spread":0.1970704816838479,"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."}}