{"id":"W4412872252","doi":"10.1101/2025.07.15.664934","title":"Aligning conservation status, vulnerability factors, and ecological and evolutionary uniqueness to produce integrated assessments of the world’s birds","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vulnerability (computing); Ecology; Conservation status; Uniqueness; Environmental resource management; Geography; Biology; Environmental science; Political science; Computer science; Habitat","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002912331,0.0009678399,0.0006069798,0.008877135,0.0007879925,0.002473644,0.0005636361,0.0005987067,0.003426198],"category_scores_gemma":[0.007115322,0.0003230802,0.0006698183,0.004647353,0.0006424072,0.002183381,0.001839663,0.0007420257,0.0006237342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001045556,"about_ca_system_score_gemma":0.0007985267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01416037,"about_ca_topic_score_gemma":0.04250459,"domain_scores_codex":[0.9988888,0.0003948414,0.00009415962,0.0002922708,0.0002046413,0.0001252825],"domain_scores_gemma":[0.9961762,0.001009292,0.001167526,0.0002955084,0.0009105756,0.0004407915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005991826,0.00007085234,0.9455232,0.0001290963,0.0004013718,0.00007121483,0.0005468219,0.004329077,0.001088776,0.0007142695,0.00123681,0.04582858],"study_design_scores_gemma":[0.00000574703,0.0001645834,0.9560654,0.0001297567,0.0001981968,0.000133247,0.003078472,0.03362779,0.0005955235,0.003437087,0.002517555,0.00004658397],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9573098,0.000915864,0.02875349,0.0007409811,0.00004188882,0.0001636659,0.002979277,0.0002144874,0.008880575],"genre_scores_gemma":[0.9855968,0.0001380119,0.01273008,0.00003669257,0.0000136172,0.00004974377,0.0009891286,0.00001474234,0.0004310313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01416037,"threshold_uncertainty_score":0.02815586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01593393946051162,"score_gpt":0.2586634106059006,"score_spread":0.242729471145389,"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."}}