{"id":"W2729884923","doi":"10.1038/ncomms16039","title":"Global mismatch between fishing dependency and larval supply from marine reserves","year":2017,"lang":"en","type":"article","venue":"Nature Communications","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"Social Sciences and Humanities Research Council of Canada; Fondation pour la Recherche sur la Biodiversite; Agence Nationale de la Recherche","keywords":"Fishing; Marine reserve; Dependency (UML); Fishery; Larva; Environmental science; Biology; Ecology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004485126,0.0001424764,0.0002500511,0.000519497,0.0001142248,0.0006160866,0.0002184921,0.0003917935,0.003091769],"category_scores_gemma":[0.00256532,0.0001546392,0.0002035886,0.0007184887,0.0005476457,0.001151507,0.0008276102,0.0003575502,0.0003650535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003444415,"about_ca_system_score_gemma":0.0001366728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001440227,"about_ca_topic_score_gemma":0.002470569,"domain_scores_codex":[0.9998031,0.00004059082,0.00002146918,0.00007434519,0.0000208107,0.00003964203],"domain_scores_gemma":[0.9985492,0.0003285846,0.0006925601,0.0001549307,0.0001151365,0.0001596051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001291118,0.00001388632,0.9815963,0.00003704015,0.000147411,0.0001640505,0.0001163866,0.003787718,0.003126119,0.001189745,0.0003845062,0.00930761],"study_design_scores_gemma":[0.000003718148,0.00002375831,0.996268,0.00001354457,0.00002544038,0.0001940897,0.0002277841,0.001538375,0.0002040401,0.001058202,0.0004360712,0.000006909107],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995433,0.0001756153,0.0007521284,0.0003200348,0.000007040533,0.000001810907,0.000494915,0.00001321435,0.002802225],"genre_scores_gemma":[0.9994443,0.00008266566,0.0001091419,0.00003844681,0.000004429239,0.000001815483,0.0001858224,0.000004714823,0.0001286191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003091769,"threshold_uncertainty_score":0.01034302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03191659951793379,"score_gpt":0.3256328202699881,"score_spread":0.2937162207520543,"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."}}