{"id":"W4378808034","doi":"10.1139/er-2022-0109","title":"A science and management partnership to restore coregonine diversity to the Laurentian Great Lakes","year":2023,"lang":"en","type":"article","venue":"Environmental Reviews","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital","funders":"Fisheries and Oceans Canada; Great Lakes Fishery Commission","keywords":"Overfishing; Legislation; Threatened species; Biodiversity; Habitat destruction; Ecology; Adaptive management; Geography; Environmental resource management; Fishery; Habitat; Convention on Biological Diversity; Indigenous; Environmental planning; Biology; Fishing; Political science; Environmental science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001198747,0.0001619606,0.0001681474,0.0000928463,0.001208009,0.00002993453,0.0005345299,0.00002041634,0.0007139446],"category_scores_gemma":[0.00005847843,0.0001135972,0.00003661938,0.0008124833,0.0005410756,0.0001452003,0.004509341,0.00007028347,0.00826787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001984022,"about_ca_system_score_gemma":0.000001606917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000162292,"about_ca_topic_score_gemma":0.001184154,"domain_scores_codex":[0.9984246,0.00006110469,0.0001582104,0.0005140821,0.0004381396,0.0004037928],"domain_scores_gemma":[0.9993688,0.00002293486,0.00004449655,0.0003896278,4.639782e-7,0.0001736061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001177812,0.00003198567,0.1655008,0.00001374316,0.0000133653,0.00001837508,0.001070886,0.00002617762,0.0001125369,0.0001551977,0.8154293,0.01761584],"study_design_scores_gemma":[0.00006153943,0.00004770872,0.4588707,0.0000102254,0.00001949003,8.280603e-7,0.000167313,0.00001026335,0.000008284638,0.00002163694,0.5407,0.00008197814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.907533,0.0006337834,0.00008226317,0.03146176,0.0004013776,0.004393592,0.00001188405,0.0001451194,0.05533716],"genre_scores_gemma":[0.8742488,0.01320355,0.0006899845,0.01988523,0.00008258874,0.0005743011,0.00002311193,0.00002885591,0.09126355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.29337,"threshold_uncertainty_score":0.9925043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03402640000885127,"score_gpt":0.2541063919066823,"score_spread":0.220079991897831,"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."}}