{"id":"W3193439910","doi":"10.1016/j.jglr.2021.08.012","title":"Ecosystem-based fisheries management is attainable, affordable, and should be viewed as a long-term commitment: Experiences from Lake Vättern, Sweden","year":2021,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Maritime and Fisheries Fund; Sveriges Lantbruksuniversitet; Havs- och Vattenmyndigheten","keywords":"Fisheries management; Environmental resource management; Environmental science; Adaptive management; Work (physics); Ecosystem; Fishing; Fishery; Business; Ecology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001864142,0.0004398331,0.0004025656,0.000458184,0.01039576,0.003876409,0.001013419,0.001345565,0.003223403],"category_scores_gemma":[0.002344122,0.000281478,0.0003534804,0.0005624748,0.004250847,0.002360612,0.006976707,0.001477114,0.0005603357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00441071,"about_ca_system_score_gemma":0.005075188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03542499,"about_ca_topic_score_gemma":0.1251927,"domain_scores_codex":[0.9979016,0.001122225,0.00006114434,0.0001311414,0.0003257005,0.0004581621],"domain_scores_gemma":[0.9989848,0.0003317842,0.0000777063,0.00002866542,0.0001244495,0.0004525561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001145605,0.0002401718,0.01363159,0.0005089581,0.00002783114,0.00907274,0.936683,0.0003767624,0.002068292,0.003873818,0.006593449,0.02680885],"study_design_scores_gemma":[0.000007051528,0.0001877054,0.01384594,0.0003445826,0.0000215735,0.0007594897,0.9271028,0.0002436313,0.0004412936,0.0006239541,0.05638535,0.00003670112],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814777,0.0009564343,0.0003790642,0.003022383,0.00006817727,0.00002486664,0.00003120151,0.00001715088,0.01402289],"genre_scores_gemma":[0.9871249,0.001010389,0.0008498569,0.0006388944,0.00003140388,0.00002789868,0.00004503935,0.00003308563,0.01023845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03542499,"threshold_uncertainty_score":0.07043761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06241046996699871,"score_gpt":0.3266935658896463,"score_spread":0.2642830959226476,"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."}}