{"id":"W4407569834","doi":"10.29173/bluejay6406","title":"To Protect Prairie Swallows, We Must Conserve Prairie Wetlands","year":2025,"lang":"en","type":"article","venue":"Blue Jay","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Wetland; Prairie dog; Environmental science; Agroforestry; Geography; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001310466,0.0003020171,0.0003106834,0.0002421843,0.002138258,0.001107624,0.0005662874,0.0006399534,0.005124886],"category_scores_gemma":[0.002207382,0.0001401757,0.000114982,0.0002503614,0.001222853,0.002662299,0.001149067,0.001321677,0.0007990333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003258835,"about_ca_system_score_gemma":0.001997808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01292272,"about_ca_topic_score_gemma":0.07735311,"domain_scores_codex":[0.999638,0.0001341451,0.00001212157,0.00004569984,0.00007866581,0.00009132628],"domain_scores_gemma":[0.9977508,0.0002588057,0.0003981679,0.0002446928,0.0004373194,0.0009100595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002525951,0.001548155,0.4971884,0.0006789322,0.0003126624,0.001225918,0.007887606,0.001420805,0.02960592,0.0298542,0.04249157,0.3875333],"study_design_scores_gemma":[0.000060915,0.001672845,0.6840739,0.0005296186,0.0001359693,0.002007553,0.02403221,0.001421855,0.003440971,0.01752425,0.2650166,0.00008322965],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9234918,0.005834084,0.007061111,0.02932302,0.0007089396,0.0001041455,0.000280013,0.000115022,0.03308183],"genre_scores_gemma":[0.9679019,0.003534724,0.009891549,0.005323145,0.0002028292,0.0000784586,0.0001162902,0.00002595337,0.01292522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01292272,"threshold_uncertainty_score":0.02569497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01260261724803712,"score_gpt":0.2323613116924733,"score_spread":0.2197586944444361,"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."}}