{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007215635,0.0002577593,0.0001817467,0.002047446,0.000266161,0.0007960598,0.0003090359,0.0002940808,0.003060485],"category_scores_gemma":[0.003293393,0.0001133725,0.0003281851,0.003051338,0.000553111,0.001023924,0.001315356,0.0003388715,0.0001591394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007595309,"about_ca_system_score_gemma":0.0004505992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03311229,"about_ca_topic_score_gemma":0.02690262,"domain_scores_codex":[0.999696,0.0001424079,0.0000126926,0.00006708575,0.00004170028,0.0000400867],"domain_scores_gemma":[0.9984761,0.0006907981,0.0003597258,0.0001776694,0.0002016446,0.00009410617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004105514,0.00003931161,0.92996,0.00008155862,0.0001605019,0.0000773096,0.0007767345,0.03246855,0.0005120646,0.006479371,0.001742263,0.02766137],"study_design_scores_gemma":[0.00001144404,0.00009076359,0.8639977,0.0001264981,0.00008131412,0.0002124039,0.004809357,0.1038039,0.0006399206,0.01830895,0.007871756,0.00004608777],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836034,0.0001643224,0.006028924,0.0005908707,0.000004454975,0.00001785489,0.002767694,0.00004443945,0.006778085],"genre_scores_gemma":[0.9980943,0.00007608996,0.001191028,0.00002090563,0.000001419215,0.00001104214,0.0004391595,0.000002903576,0.0001632468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03311229,"threshold_uncertainty_score":0.06583911,"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."}}