{"id":"W4386882996","doi":"10.1126/sciadv.adh4686","title":"Conserving avian evolutionary history can effectively safeguard future benefits for people","year":2023,"lang":"en","type":"article","venue":"Science Advances","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Environment Research Council","keywords":"Safeguard; Business; Computer science; Risk analysis (engineering); Environmental planning; Computer security; Environmental science; International trade","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":[],"consensus_categories":[],"category_scores_codex":[0.0005483921,0.0001007416,0.0001124285,0.00008126449,0.0006518525,0.00001142322,0.000373785,0.00004550154,0.0002292465],"category_scores_gemma":[0.0001910623,0.00008595868,0.00003747108,0.0008000142,0.0006402784,0.0008036686,0.0001299442,0.00007130569,0.0002500538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005471605,"about_ca_system_score_gemma":0.0001242187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001059973,"about_ca_topic_score_gemma":0.002022814,"domain_scores_codex":[0.9987571,0.0000283807,0.0001235534,0.0004213943,0.0002832524,0.0003863513],"domain_scores_gemma":[0.9994709,0.0001696585,0.00007702545,0.0001687871,0.00002792403,0.00008564452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002505489,0.00002142326,0.9585271,0.00001502572,0.000002494625,0.000001815968,0.000810537,0.002644105,0.002922173,0.0008301505,0.009945451,0.0242547],"study_design_scores_gemma":[0.0001469109,0.0000670005,0.9522583,0.000008971751,0.000004522553,0.00000420525,0.0003655962,0.000932676,0.0002442585,0.001803083,0.04403296,0.00013153],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918146,0.0003817365,0.00007818406,0.004316912,0.001497076,0.0003247839,0.00001502562,0.0001293285,0.001442423],"genre_scores_gemma":[0.9951711,0.00004923134,0.001598669,0.001133431,0.0001452935,0.0001632868,0.00001297291,0.000009007292,0.001716979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03408751,"threshold_uncertainty_score":0.5013588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00960420347321318,"score_gpt":0.2283227311735606,"score_spread":0.2187185277003474,"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."}}