{"id":"W4380291481","doi":"10.1002/eap.2898","title":"The role of spatial structure in at‐risk metapopulation recoveries","year":2023,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Ministry of Forests; Fisheries and Oceans Canada; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Metapopulation; Ecology; Biological dispersal; Disturbance (geology); Habitat; Spatial ecology; Population; Geography; Biology; Demography","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":[0.002134796,0.0002469438,0.000358773,0.0008681531,0.0007323247,0.001325285,0.0007825575,0.0007901167,0.001387036],"category_scores_gemma":[0.01080832,0.0002257009,0.000765908,0.000489358,0.001524063,0.001689111,0.001282216,0.0008125756,0.0001299954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001177949,"about_ca_system_score_gemma":0.0005618703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008615572,"about_ca_topic_score_gemma":0.01100239,"domain_scores_codex":[0.9993964,0.0002352084,0.0000493159,0.0001346611,0.00006374372,0.0001206763],"domain_scores_gemma":[0.9955615,0.001777825,0.001434643,0.0006156244,0.0002786896,0.0003318319],"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":[0.0001805683,0.0001731209,0.5580794,0.0001293695,0.0006905405,0.0008181951,0.001456323,0.3853609,0.005666585,0.02098324,0.001037208,0.02542465],"study_design_scores_gemma":[0.00006306429,0.0003458534,0.4574806,0.00008538531,0.0003078625,0.0006410889,0.002585081,0.4856353,0.00134206,0.0498325,0.00155534,0.0001259301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916073,0.0001908806,0.005914125,0.0005328192,0.000007330793,0.00001342703,0.00009240855,0.00004540116,0.001596236],"genre_scores_gemma":[0.999605,0.00003016633,0.00024813,0.00001946747,0.00000164015,0.000003735544,0.00001726714,0.000003615683,0.00007106319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008615572,"threshold_uncertainty_score":0.01713085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005921884136371934,"score_gpt":0.2124513012056314,"score_spread":0.2065294170692595,"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."}}