{"id":"W4322737862","doi":"10.24072/pci.ecology.100417","title":"Adaptive harvesting, “fishing down the food web”, and regime shifts","year":2023,"lang":"en","type":"article","venue":"Peer Community In Ecology","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Canada; Fisheries and Oceans Canada","funders":"","keywords":"Fishing; Food web; Fishery; Environmental science; Computer science; Ecology; Biology; Ecosystem","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":[0.0007527948,0.0001333746,0.0001825521,0.0004833628,0.000531742,0.001151985,0.0003042601,0.0004720458,0.03803764],"category_scores_gemma":[0.00400633,0.0001044101,0.0001640332,0.0005260241,0.0006677483,0.001082264,0.0007729892,0.0005657328,0.002858481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003479842,"about_ca_system_score_gemma":0.0003957094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005566875,"about_ca_topic_score_gemma":0.01193175,"domain_scores_codex":[0.9998647,0.00003093887,0.000007986115,0.00002724608,0.00004791833,0.00002116651],"domain_scores_gemma":[0.9979754,0.0007623706,0.0003055103,0.0001241728,0.000370663,0.0004618916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004601628,0.0002576576,0.2289863,0.000412889,0.0001442525,0.0008474651,0.001143565,0.002421719,0.003918899,0.02349443,0.3770212,0.3608915],"study_design_scores_gemma":[0.00004894032,0.0001931659,0.7896321,0.0003156221,0.00006929437,0.0008179599,0.002884361,0.003782425,0.001728173,0.04680701,0.1536349,0.00008613098],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5029556,0.01147288,0.005759609,0.2277198,0.006171756,0.0001322614,0.002519306,0.000345541,0.2429231],"genre_scores_gemma":[0.8414866,0.009010484,0.002138115,0.006191781,0.002179648,0.000045692,0.0007584003,0.0001060577,0.1380832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03803764,"threshold_uncertainty_score":0.1272485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02519244951838211,"score_gpt":0.2432319324317933,"score_spread":0.2180394829134112,"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."}}