{"id":"W4376618602","doi":"10.1101/2023.05.12.540438","title":"Population genomics of harbour seal <i>Phoca vitulina</i> from northern British Columbia through California and comparison to the Atlantic subspecies","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Alaska Department of Fish and Game; Massachusetts Department of Fish and Game","keywords":"Phoca; Subspecies; Harbour; Harbor seal; Seal (emblem); Geography; Fishery; Population; Archaeology; Zoology; Biology; Demography; Computer science; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002383501,0.0001561396,0.0001753681,0.001073487,0.001101373,0.0006434599,0.0002776958,0.0001690105,0.001250895],"category_scores_gemma":[0.0003688345,0.0001001049,0.0001373051,0.00128817,0.0002741249,0.00009289526,0.0002500444,0.0002145002,0.000171775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001649257,"about_ca_system_score_gemma":0.001447875,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.800161,"about_ca_topic_score_gemma":0.9094181,"domain_scores_codex":[0.9998474,0.000009608447,0.000007886571,0.00006066115,0.00003609449,0.00003827917],"domain_scores_gemma":[0.9994796,0.00003251414,0.00009261586,0.00002547643,0.0002750875,0.00009475433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001111525,0.00002153925,0.9721348,0.00002005821,0.0000889416,0.0001305828,0.0009414106,0.0001833695,0.01641802,0.00004931568,0.0005997999,0.009300977],"study_design_scores_gemma":[0.000001413221,0.000006241118,0.9990134,0.000005224973,0.000007777499,0.00002471121,0.0003591543,0.00005070469,0.0001427681,0.00000366395,0.0003832397,0.000001587881],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981353,0.00007548121,0.00008131328,0.00001932154,0.000002503682,0.000006214746,0.0007784942,0.000005088054,0.000896264],"genre_scores_gemma":[0.997985,0.00008054457,0.0001443294,0.00002500038,0.000001278174,0.000006921972,0.001160533,0.000004530328,0.0005918819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.199839,"threshold_uncertainty_score":0.4020317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01972777655746702,"score_gpt":0.2135590569318557,"score_spread":0.1938312803743887,"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."}}