{"id":"W4211164177","doi":"10.1016/j.biocon.2022.109484","title":"Spatial mismatch in diversity facets reveals contrasting protection for New Zealand's cetacean biodiversity","year":2022,"lang":"en","type":"article","venue":"Biological Conservation","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Ministry for Primary Industries; Royal Society Te Apārangi; Department of Conservation, New Zealand","keywords":"Biodiversity; Species richness; Phylogenetic diversity; Biodiversity hotspot; Ecology; Geography; Endangered species; Species diversity; Marine protected area; Biology; Phylogenetic tree; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004695997,0.00009207566,0.0001479783,0.00001671322,0.0005858426,0.000009837221,0.0001551922,0.00004740504,0.001102219],"category_scores_gemma":[0.0002130781,0.00008381941,0.00004799364,0.0001729074,0.00004529532,0.00007430166,0.001063338,0.0001144714,0.0000264671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002730522,"about_ca_system_score_gemma":0.00000690946,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03354002,"about_ca_topic_score_gemma":0.003573445,"domain_scores_codex":[0.9990739,0.0001355441,0.0001604396,0.0002855585,0.0001501661,0.0001944009],"domain_scores_gemma":[0.9996827,0.00008322753,0.0001114789,0.00006848997,0.000009122527,0.00004501324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001587519,0.00004263865,0.9856003,0.000004080241,0.000003749697,0.000001416199,0.000125743,0.00003659736,0.001340576,0.00001270397,0.006880039,0.005793383],"study_design_scores_gemma":[0.0006217288,0.0002877092,0.9677218,0.000002333725,0.000006062443,0.000001280452,0.00007540688,0.0004144458,0.00006277346,0.0005821945,0.03011187,0.0001123781],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952362,0.00001565375,0.0006387308,0.002872903,0.00007017844,0.0008620517,0.00002934,0.0000420048,0.0002329819],"genre_scores_gemma":[0.9984417,0.00001017887,0.0003235347,0.0008789447,0.000021863,0.00004317242,0.0000352167,0.000001829641,0.0002435665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02996658,"threshold_uncertainty_score":0.9998109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08867325908653811,"score_gpt":0.2398804787499377,"score_spread":0.1512072196633996,"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."}}