{"id":"W2994294264","doi":"10.1002/eap.2051","title":"Spatial variation in exploited metapopulations obscures risk of collapse","year":2019,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tula Foundation; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Hakai Institute; Tula Foundation; Gordon and Betty Moore Foundation","keywords":"Metapopulation; Spatial ecology; Ecology; Spatial variability; Spatial heterogeneity; Temporal scales; Biology; Population; Statistics; Mathematics; Demography; Biological dispersal","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":[0.001101951,0.0001749082,0.0002934003,0.0005751958,0.0003874322,0.0009919915,0.000584177,0.0005102083,0.001129185],"category_scores_gemma":[0.006698242,0.0002686039,0.0004247795,0.0004332508,0.001019877,0.001100106,0.001390084,0.0004197285,0.00008887119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006404296,"about_ca_system_score_gemma":0.0003384368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002981764,"about_ca_topic_score_gemma":0.006087649,"domain_scores_codex":[0.9995545,0.0001655151,0.00003833494,0.0001337498,0.00006056166,0.00004741975],"domain_scores_gemma":[0.9969665,0.001183743,0.001001543,0.0005518708,0.0001360074,0.0001603054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002802977,0.0001600242,0.6817753,0.0001209942,0.000524879,0.0006476725,0.001200374,0.2132702,0.02008396,0.04017999,0.0006750386,0.04108128],"study_design_scores_gemma":[0.00002548119,0.0001679824,0.3305281,0.0000387878,0.0001735271,0.0005315092,0.000998411,0.6193086,0.002370526,0.04491872,0.0008781049,0.00006018122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873869,0.00006011543,0.0109747,0.0001097267,0.000002605347,0.000004073667,0.00003232662,0.00003337819,0.001396241],"genre_scores_gemma":[0.9993585,0.00000917287,0.0005370638,0.000008241459,7.71327e-7,0.000001471974,0.000008934987,0.000002226337,0.00007371203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002981764,"threshold_uncertainty_score":0.005928814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497920758624316,"score_gpt":0.2489757251884576,"score_spread":0.2339965176022144,"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."}}