{"id":"W2974690383","doi":"10.1101/770263","title":"Not all seabird species can overcome marine threats when predator removal at their colonies is prioritised","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Australian Research Council; Natural Environment Research Council; Sight Research UK","keywords":"Seabird; Threatened species; Biology; Predation; Vulnerability (computing); Ecology; Population; Predator; Foraging; Vulnerable species; Apex predator; Fishery; Geography; Endangered species; Habitat","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":[0.000594133,0.0002336334,0.0002737848,0.0005078551,0.0004104755,0.0006954793,0.0002453594,0.0002231481,0.001602546],"category_scores_gemma":[0.001569956,0.0001264188,0.0003765101,0.0005059217,0.0002660166,0.0006478531,0.0005418468,0.000366198,0.0003897001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002389025,"about_ca_system_score_gemma":0.0002103832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007363135,"about_ca_topic_score_gemma":0.02928457,"domain_scores_codex":[0.9996693,0.00009189652,0.00001814438,0.000106091,0.0000514046,0.00006328883],"domain_scores_gemma":[0.9990527,0.000178091,0.0003764266,0.0001463356,0.0001199055,0.0001265209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004593215,0.00001587683,0.9824359,0.00005762161,0.0001788672,0.00003449154,0.0001514697,0.001295253,0.002855021,0.00008788719,0.0005032201,0.01233849],"study_design_scores_gemma":[0.00000180594,0.00002739152,0.9961914,0.00001626172,0.00002909016,0.00006930091,0.000268013,0.001438164,0.0002655096,0.0001192746,0.001569519,0.00000433446],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997221,0.0001548091,0.0009019993,0.00006134905,0.000004664139,0.000004024288,0.0009407805,0.00002085987,0.0006905851],"genre_scores_gemma":[0.9973008,0.0001042835,0.0009494942,0.00004703548,0.000004142007,0.000008026427,0.001418253,0.000005333573,0.0001625931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007363135,"threshold_uncertainty_score":0.01464057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02058130253264126,"score_gpt":0.2076222804890412,"score_spread":0.1870409779564,"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."}}