{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002139149,0.0002933158,0.0002544592,0.0006995745,0.0006541462,0.001261744,0.0002701557,0.0004039391,0.001936223],"category_scores_gemma":[0.005965252,0.0001512336,0.0001909721,0.0005500634,0.0008250441,0.001419977,0.0009907443,0.0003413272,0.0002893553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004188781,"about_ca_system_score_gemma":0.0003801909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001619883,"about_ca_topic_score_gemma":0.008335431,"domain_scores_codex":[0.9995108,0.0001921202,0.00002696922,0.00008493972,0.00009450729,0.00009078655],"domain_scores_gemma":[0.9966006,0.001049991,0.00116727,0.0004010818,0.0003172933,0.0004637887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002510533,0.0001601619,0.8600101,0.0001603607,0.0002131401,0.0001108388,0.0007321031,0.005215971,0.006342752,0.003629517,0.0006132479,0.1225607],"study_design_scores_gemma":[0.000007630557,0.0004428099,0.9828719,0.00005637142,0.00006231464,0.0002077741,0.001073133,0.003613174,0.001265367,0.008229448,0.002145849,0.00002425023],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927389,0.0003564098,0.001556719,0.0003003259,0.000007743111,0.00000871221,0.00005832471,0.00001802177,0.004954902],"genre_scores_gemma":[0.9981476,0.00009953613,0.001416313,0.00004523448,0.000006865772,0.000003458925,0.00004502196,0.000003348006,0.0002325659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002139149,"threshold_uncertainty_score":0.01131302,"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."}}