{"id":"W2945842279","doi":"10.1126/sciadv.aau2642","title":"Unravelling migration connectivity reveals unsustainable hunting of the declining ortolan bunting","year":2019,"lang":"en","type":"article","venue":"Science Advances","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Western University","funders":"Science and Engineering Research Board; Conseil Régional Aquitaine; Environment and Climate Change Canada; Ministère de l'Écologie, du Développement Durable et de l'Énergie; Labex; Agence Nationale de la Recherche; Deutsche Forschungsgemeinschaft; Deutsche Bundesstiftung Umwelt","keywords":"Bunting; Geography; Natural resource economics; Economic geography; Biology; Ecology; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.001448312,0.00006532292,0.00009562864,0.00003056939,0.0004559889,0.00002471325,0.000346303,0.00002865331,0.0001399173],"category_scores_gemma":[0.0005562821,0.00004858941,0.00002772084,0.0008210089,0.0004604987,0.001171858,0.0001521367,0.00009207988,0.00004835063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007126568,"about_ca_system_score_gemma":0.00005045011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002207352,"about_ca_topic_score_gemma":0.0004042578,"domain_scores_codex":[0.9989496,0.0000470493,0.0001930525,0.0002708162,0.0002862934,0.0002531572],"domain_scores_gemma":[0.9992988,0.0001835185,0.0002573741,0.0002025384,0.00003357326,0.00002417096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002702419,0.000008233665,0.9548953,0.00000740708,6.319352e-7,1.209212e-7,0.0002454749,0.006892652,0.03521317,0.0003335659,0.000004852776,0.002395907],"study_design_scores_gemma":[0.00007674913,0.00002509903,0.9713894,0.00003230082,0.000003425043,0.000001394184,0.00105224,0.002898976,0.02110073,0.002780661,0.0005612262,0.00007780051],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945266,0.00002524371,0.0003263045,0.0003640612,0.0003474877,0.0001750363,3.500587e-7,0.00001512674,0.004219748],"genre_scores_gemma":[0.9981771,0.000003251817,0.001164095,0.0002040981,0.00001571924,0.000004151165,2.684876e-7,0.000002961088,0.0004283811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01649411,"threshold_uncertainty_score":0.3507144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008548706307515148,"score_gpt":0.2459088932821051,"score_spread":0.23736018697459,"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."}}