{"id":"W4224266687","doi":"10.1016/j.tree.2022.03.003","title":"Evolving spatial conservation prioritization with intraspecific genetic data","year":2022,"lang":"en","type":"review","venue":"Trends in Ecology & Evolution","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; University of Toronto; Impact","funders":"","keywords":"Intraspecific competition; Biological dispersal; Genetic diversity; Biodiversity; Population; Ecology; Conservation genetics; Biology; Geography","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003419562,0.0002969028,0.0005930447,0.0002533001,0.0001949179,0.00003233959,0.0006000681,0.0002584042,0.1258828],"category_scores_gemma":[0.00007201741,0.0002871491,0.0000647294,0.001161405,0.0002195995,0.0002475572,0.0005611869,0.0003905789,0.0004701596],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004830172,"about_ca_system_score_gemma":0.00008446843,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006249649,"about_ca_topic_score_gemma":0.02179636,"domain_scores_codex":[0.997652,0.0003255911,0.0005419538,0.0007771676,0.0003139358,0.0003893595],"domain_scores_gemma":[0.9987411,0.0001113115,0.0003822262,0.0006975985,0.000009543139,0.00005820164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000155271,0.0002257856,0.03608695,0.000303244,0.00003273753,0.00002650361,0.00006077163,0.00005721118,6.561389e-7,0.0001672418,0.02064925,0.9423741],"study_design_scores_gemma":[0.0002275607,0.000087269,0.3102113,0.0000930174,0.0001374251,0.00004913255,0.0000819358,0.0006137616,2.735803e-8,0.00001576021,0.6882458,0.0002370002],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0023651,0.9736236,0.0008451592,0.0002168942,0.001330364,0.001108218,0.0008857547,0.0001998993,0.01942504],"genre_scores_gemma":[0.004032746,0.9826249,0.0001823655,0.0000393275,0.00009468917,0.0001805231,0.01227908,0.00004274582,0.0005235809],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9421371,"threshold_uncertainty_score":0.999958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0901011140041736,"score_gpt":0.3157187669351147,"score_spread":0.2256176529309412,"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."}}