{"id":"W4388846352","doi":"10.1111/conl.12993","title":"Remote seamounts are key conservation priorities for pelagic wildlife","year":2023,"lang":"en","type":"article","venue":"Conservation Letters","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pelagic zone; Seamount; Wildlife; Key (lock); Wildlife conservation; Geography; Fishery; Environmental resource management; Environmental planning; Ecology; Environmental science; Oceanography; Biology; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002637127,0.0001344312,0.0001574268,0.00005256114,0.0002800718,0.00004512018,0.0001275291,0.00004158917,0.00009762024],"category_scores_gemma":[0.0002091666,0.0001329383,0.00006017023,0.0003516275,0.00009762272,0.0002739393,0.000140025,0.00005861332,0.0005114241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001173707,"about_ca_system_score_gemma":0.0000107636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000899965,"about_ca_topic_score_gemma":0.0008645147,"domain_scores_codex":[0.9989769,0.0000357302,0.0002428595,0.0002737123,0.000214893,0.0002558725],"domain_scores_gemma":[0.9994221,0.000185624,0.0001412577,0.0001753646,0.00002952206,0.0000460788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00001979241,0.000004890384,0.4240533,0.0000497462,0.0000129012,0.000003425097,0.0002364546,0.0000557039,0.003912483,0.0001037729,0.5704389,0.001108613],"study_design_scores_gemma":[0.0003912947,0.00002184741,0.7267243,0.00003339958,0.0000133702,0.000002326453,0.0001863516,0.007730692,0.0001145829,0.0005221592,0.2640741,0.0001855432],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.885455,0.000008705244,0.001220366,0.1117609,0.0004132789,0.0004553605,0.00002087914,0.0002063283,0.0004591932],"genre_scores_gemma":[0.8971243,0.00006375515,0.002516044,0.08645052,0.0003629841,0.0001879207,0.0001708691,0.00005270131,0.01307093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3063648,"threshold_uncertainty_score":0.6573493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02782290871394617,"score_gpt":0.236481540905764,"score_spread":0.2086586321918178,"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."}}