{"id":"W4283692148","doi":"10.22541/au.165648248.86647399/v1","title":"Stepping up to genome scan allows stock differentiation in the worldwide distributed blue shark Prionace glauca","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Biology; Bycatch; Endangered species; Population; Demographic history; Threatened species; Fishery; Range (aeronautics); Effective population size; Mediterranean sea; Near-threatened species; Evolutionary biology; Geography; Ecology; Zoology; Mediterranean climate; Fishing; Genetic variation; Genetics; Demography","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":[0.0009833098,0.0003424574,0.0004079432,0.0009413482,0.0005294855,0.0007099893,0.0004565783,0.0004375817,0.002270328],"category_scores_gemma":[0.001885329,0.0002618718,0.0007239497,0.0007099467,0.0002382542,0.0003945006,0.0006676777,0.0005918956,0.0006790225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000192196,"about_ca_system_score_gemma":0.0003785146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004199409,"about_ca_topic_score_gemma":0.014206,"domain_scores_codex":[0.9995167,0.00007908938,0.00002215646,0.0002428007,0.00007970618,0.00005951255],"domain_scores_gemma":[0.9994152,0.0002385958,0.00008581571,0.00008728565,0.0001091544,0.00006408271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006690196,0.0002486777,0.5808153,0.0004917852,0.001422647,0.001244805,0.001423201,0.0034344,0.3048102,0.001237765,0.003876951,0.1003253],"study_design_scores_gemma":[0.00004135742,0.0002637732,0.9622616,0.00008278545,0.0006820186,0.0008281171,0.0006303928,0.01047643,0.01455071,0.001247677,0.008881091,0.00005397385],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861149,0.000584304,0.007898783,0.0001517879,0.00004658382,0.00002450171,0.003364059,0.000214174,0.00160098],"genre_scores_gemma":[0.9748663,0.0001959725,0.01638073,0.0003140823,0.00001616351,0.00004139306,0.007236383,0.0001224217,0.0008265675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004199409,"threshold_uncertainty_score":0.008349955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01507508130680235,"score_gpt":0.2471132573908595,"score_spread":0.2320381760840571,"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."}}