{"id":"W2782056200","doi":"10.1002/ece3.3727","title":"What factors shape genetic diversity in cetaceans?","year":2018,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University; Dalhousie University","funders":"","keywords":"Genetic diversity; Biology; Evolutionary biology; Diversity (politics); Population; Range (aeronautics); Mitochondrial DNA; Ecology; Biodiversity; Phylogenetic tree; Demography; Genetics; Gene","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008004593,0.00005211882,0.00007038091,0.00001391895,0.000228433,0.000005670556,0.00006112798,0.00004982814,0.00248968],"category_scores_gemma":[0.00001740433,0.00004850555,0.00001140675,0.00007736385,0.0002082704,0.0001913566,0.0006152376,0.0000459829,0.0003267855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001315659,"about_ca_system_score_gemma":0.00000171951,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007321686,"about_ca_topic_score_gemma":0.03347251,"domain_scores_codex":[0.9995583,0.00003324501,0.00006085239,0.0001556347,0.00004678324,0.0001452251],"domain_scores_gemma":[0.9998792,0.00001820808,0.00002076032,0.00005181631,0.000002750129,0.00002725269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006564284,0.00001619685,0.9980816,0.00000179995,0.000002414462,0.000001280459,0.0002984166,0.000003634446,0.00001802026,0.00003147061,0.000565052,0.0009736142],"study_design_scores_gemma":[0.0001108929,0.0001074514,0.997057,0.000002058944,0.000004971998,0.000001351832,0.0001541342,0.0003929255,0.000005588607,0.0006685867,0.001441553,0.00005344495],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969993,0.0001433081,0.000008007056,0.0001380504,0.0002089338,0.00006871553,3.658923e-7,0.000009447258,0.002423835],"genre_scores_gemma":[0.9993601,0.0002546262,0.00005274589,0.0001344715,0.00002194147,0.000001599753,5.852157e-7,0.000001604449,0.0001722585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03274034,"threshold_uncertainty_score":0.9984222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01970353745785721,"score_gpt":0.2222698570430257,"score_spread":0.2025663195851684,"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."}}