{"id":"W2121745068","doi":"10.1111/cobi.12303","title":"Seventy‐One Important Questions for the Conservation of Marine Biodiversity","year":2014,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Simon Fraser University; World Wildlife Fund Canada; University of British Columbia; Memorial University of Newfoundland","funders":"Society for Conservation Biology","keywords":"Marine conservation; Marine biodiversity; Marine ecosystem; Government (linguistics); Limiting; Environmental resource management; Biodiversity; Marine protected area; Geography; Business; Resource (disambiguation); Environmental planning; Ecosystem; Political science; Ecology; Environmental science; Engineering; Computer science; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0003410558,0.00006281828,0.0001182078,0.00001511382,0.0001747646,0.000003559136,0.000105974,0.00004039596,0.0003545477],"category_scores_gemma":[0.0002210667,0.00004499829,0.00003935397,0.0001029874,0.0001758287,0.00004542349,0.0001817899,0.00003083479,0.00003587156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002483247,"about_ca_system_score_gemma":0.000007417862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003815305,"about_ca_topic_score_gemma":0.003408609,"domain_scores_codex":[0.9994634,0.00004488282,0.0002133754,0.0001340208,0.00004285908,0.0001014697],"domain_scores_gemma":[0.9993617,0.0002749251,0.0001635381,0.0001402637,0.00004113686,0.00001841792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000226182,0.00002625682,0.9780442,0.000009190747,0.00001770297,2.271792e-8,0.00003138901,0.000003477925,0.002732137,0.006010665,0.008819236,0.004283082],"study_design_scores_gemma":[0.0002540829,0.0001004388,0.8124093,0.000003408974,0.00002501588,9.564006e-7,0.00002463752,0.002415284,0.0002660462,0.004419364,0.1800193,0.00006213353],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9677105,0.00003533592,0.009106462,0.02102892,0.0002869971,0.0004853877,0.00004668224,0.00002908346,0.001270636],"genre_scores_gemma":[0.9956937,0.0000859272,0.001533694,0.001750497,0.00004027542,0.00006215426,0.00009616899,0.000002968629,0.0007345407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1712001,"threshold_uncertainty_score":0.5767626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0244488541880943,"score_gpt":0.2299232713028819,"score_spread":0.2054744171147876,"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."}}