{"id":"W2789669824","doi":"10.1111/faf.12269","title":"Variability and stability in predation landscapes: A cross‐ecosystem comparison on the potential for predator control in temperate marine ecosystems","year":2018,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Division of Graduate Education","keywords":"Predator; Predation; Ecology; Guild; Biology; Ecosystem; Population; Range (aeronautics); Apex predator; Food web; Food chain; Ecological stability; Temperate climate; Habitat","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":[0.001206824,0.0001842541,0.0003844949,0.001735699,0.0004713963,0.001089972,0.0002795423,0.0002851338,0.0009176707],"category_scores_gemma":[0.002573104,0.0001281549,0.0004459592,0.0009040509,0.000561573,0.0009096274,0.001156415,0.0001662016,0.00006417459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004015563,"about_ca_system_score_gemma":0.0001299022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002889532,"about_ca_topic_score_gemma":0.005598034,"domain_scores_codex":[0.9996247,0.0001250106,0.00003515845,0.00008694269,0.00007427744,0.00005387923],"domain_scores_gemma":[0.9984235,0.0006284429,0.0003788727,0.0001573919,0.0002640838,0.0001477326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002201464,0.00004499713,0.9850113,0.00005108513,0.0004379136,0.0001060624,0.0005892454,0.0009322336,0.006254887,0.0002768487,0.00006125109,0.006014145],"study_design_scores_gemma":[0.000001435166,0.00005726722,0.9981974,0.000003506801,0.00002893015,0.00004601419,0.0003361691,0.001015379,0.0001250316,0.000127242,0.00005803346,0.000003556703],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995221,0.0000797479,0.0001111387,0.000007384023,5.374074e-7,0.00000140534,0.00002796514,0.000001770084,0.0002479322],"genre_scores_gemma":[0.9998703,0.0000163898,0.00006202831,0.000002061644,8.65871e-7,0.000001019541,0.00003229414,8.566455e-7,0.00001423217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002889532,"threshold_uncertainty_score":0.006382406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01381350889302462,"score_gpt":0.2417805994609542,"score_spread":0.2279670905679296,"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."}}