{"id":"W2887286417","doi":"10.1126/sciadv.aar3279","title":"Far from home: Distance patterns of global fishing fleets","year":2018,"lang":"en","type":"article","venue":"Science Advances","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":158,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Paul M. Angell Family Foundation; Marisla Foundation; MAVA Foundation; Oak Foundation; David and Lucile Packard Foundation","keywords":"Fishing; Geography; China; Fishery; Nautical mile; Exclusive economic zone; Sustainability; United Nations Convention on the Law of the Sea; Convention; Ecology; Political science","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":[0.000183111,0.0001749374,0.0001230693,0.001289541,0.0001888952,0.0007100357,0.0002061605,0.0002110389,0.002305331],"category_scores_gemma":[0.001154322,0.0001096792,0.0002487591,0.001519123,0.0003773239,0.001237871,0.0007206605,0.0002469615,0.0004964325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003282355,"about_ca_system_score_gemma":0.000137808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01333727,"about_ca_topic_score_gemma":0.02474528,"domain_scores_codex":[0.9999036,0.00001225511,0.000008064952,0.00003582006,0.00001447811,0.0000258157],"domain_scores_gemma":[0.9994202,0.0001038586,0.0002195735,0.00004835848,0.0001231121,0.0000850322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001064662,0.0000149506,0.9792275,0.00003935543,0.00008181867,0.00009880941,0.00184322,0.001206414,0.0009309364,0.00102768,0.0008912137,0.01453159],"study_design_scores_gemma":[0.000001769346,0.00002191198,0.9966966,0.00001317219,0.000007908732,0.00007205816,0.001504485,0.0004465471,0.00007916131,0.0001728122,0.0009766056,0.000006903325],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961056,0.0001750033,0.0001251743,0.00006174215,0.00000307416,0.0000026876,0.0008083978,0.000007559092,0.002710696],"genre_scores_gemma":[0.9985231,0.0001454739,0.0001084625,0.0000108575,0.00000281647,0.000003046721,0.0007604806,0.00000650328,0.0004392654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01333727,"threshold_uncertainty_score":0.02651924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01047512313747115,"score_gpt":0.2809860943062038,"score_spread":0.2705109711687327,"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."}}