{"id":"W1964107643","doi":"10.3354/esr00207","title":"Conservation implications should guide the application of conservation genetics research","year":2009,"lang":"en","type":"article","venue":"Endangered Species Research","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Parks Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Parks Canada","keywords":"Conservation genetics; Conservation biology; Agency (philosophy); Endangered species; Conservation science; Sociology; Ecology; Biology; Genetics; Biodiversity; Social science","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"category_scores_codex":[0.003160746,0.0001185388,0.0001424453,0.0001414166,0.0007981163,0.00009866044,0.0007688148,0.0001184069,0.008167528],"category_scores_gemma":[0.0006288225,0.00009533612,0.00006297728,0.001999159,0.001217439,0.0001460097,0.0002623281,0.0004749135,0.0007923658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009302601,"about_ca_system_score_gemma":0.00006579678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001129427,"about_ca_topic_score_gemma":0.001658026,"domain_scores_codex":[0.9967157,0.000453581,0.000414423,0.0003833825,0.001488593,0.0005442803],"domain_scores_gemma":[0.9978305,0.0006219117,0.000104383,0.0008594274,0.0004716183,0.000112229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000460088,0.0002435991,0.04589063,0.00001160325,0.00001014257,8.881557e-7,0.0007572753,0.00002843808,0.3214611,0.1025874,0.5124578,0.01650509],"study_design_scores_gemma":[0.0001297754,0.00008141806,0.5477828,0.00000402801,0.000002724401,0.000002170202,0.001653294,0.0003292062,0.01140147,0.003029245,0.4355141,0.00006981326],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6256875,0.0002906898,0.001549574,0.09568939,0.0000702364,0.001571102,0.0001785119,0.0000768817,0.2748862],"genre_scores_gemma":[0.9932657,0.0004589665,0.0002490574,0.0006839311,0.00009609298,0.0001701379,0.0001968343,0.00001393672,0.004865272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5018921,"threshold_uncertainty_score":0.9999856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2781333212020856,"score_gpt":0.4372768912563113,"score_spread":0.1591435700542257,"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."}}