{"id":"W2904855160","doi":"10.1111/conl.12617","title":"Mapping global human dependence on marine ecosystems","year":2018,"lang":"en","type":"article","venue":"Conservation Letters","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":195,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"Rockefeller Foundation","keywords":"Ecosystem; Marine ecosystem; Environmental resource management; Ecosystem services; Scale (ratio); Marine protected area; Range (aeronautics); Environmental science; Geography; Ecology; Cartography; 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":[0.000527286,0.00009423526,0.00009211955,0.00007164275,0.0007296844,0.0001269414,0.0001729872,0.00006303371,0.0004327231],"category_scores_gemma":[0.0001953876,0.0001071662,0.00003321488,0.0004011269,0.0001889699,0.0003085017,0.00002541188,0.00005394175,0.0002901229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004134304,"about_ca_system_score_gemma":0.00006409539,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009584076,"about_ca_topic_score_gemma":0.09955759,"domain_scores_codex":[0.998801,0.0001561441,0.0002237144,0.0002273103,0.0003657207,0.0002261419],"domain_scores_gemma":[0.9993491,0.00008300681,0.00015399,0.0001651463,0.0001850898,0.00006373619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003975087,0.00007863323,0.6988463,0.00004628857,0.00004147116,0.00001096254,0.03040627,0.00002342973,0.04015264,0.09965135,0.1261919,0.00451097],"study_design_scores_gemma":[0.001093611,0.0001534625,0.6566103,0.0002038727,0.00002253232,0.000004624137,0.01266925,0.002357329,0.001108991,0.003298729,0.321744,0.0007333055],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9513238,0.000003825441,0.002370394,0.02986348,0.0006038607,0.0002770129,0.000008016336,0.0001495751,0.01540006],"genre_scores_gemma":[0.9862074,0.000005313996,0.0004380275,0.01202611,0.0008042517,0.00002335228,0.00006150953,0.000007995807,0.0004260596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1955521,"threshold_uncertainty_score":0.9970112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1324192934068522,"score_gpt":0.3301905235350822,"score_spread":0.19777123012823,"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."}}