{"id":"W3122957424","doi":"10.1139/facets-2020-0015","title":"Freshwater conservation planning in the far north of Ontario, Canada: identifying priority watersheds for the conservation of fish biodiversity in an intact boreal landscape","year":2021,"lang":"en","type":"article","venue":"FACETS","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wildlife Conservation Society Canada","funders":"","keywords":"Biodiversity; Freshwater ecosystem; Geography; Freshwater fish; Fishery; Boreal; Drainage basin; Arctic; Ecology; Conservation biology; Ecosystem; Environmental science; Fish <Actinopterygii>; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0005988505,0.0003019785,0.0002241307,0.001413135,0.003609964,0.001599422,0.0008243553,0.0002779019,0.002291177],"category_scores_gemma":[0.002259077,0.0002047034,0.0003592438,0.003234396,0.0009416438,0.0005969546,0.0009750462,0.0003750444,0.00009268838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03479717,"about_ca_system_score_gemma":0.08789372,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9927447,"about_ca_topic_score_gemma":0.9988937,"domain_scores_codex":[0.9995,0.00008836957,0.00001584095,0.00006432525,0.0001359194,0.0001954628],"domain_scores_gemma":[0.9990861,0.0001219764,0.0001414514,0.00002456205,0.000375675,0.0002501449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001535396,0.00008970391,0.7658601,0.0006320439,0.0002252736,0.0009319137,0.006489277,0.03399267,0.003063462,0.01237159,0.02491193,0.1512786],"study_design_scores_gemma":[0.00004499632,0.00005291669,0.9046589,0.0003453761,0.0001233208,0.0001934684,0.02157474,0.02522999,0.000799625,0.004725398,0.04218134,0.00006993915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9537994,0.002425294,0.006332908,0.004703122,0.00003572629,0.0002697771,0.004248363,0.0001330807,0.02805243],"genre_scores_gemma":[0.9847179,0.001005314,0.009693564,0.0002049339,0.00000395652,0.00005693829,0.0009975412,0.00001957067,0.003300215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03479717,"threshold_uncertainty_score":0.2524723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02893856255222694,"score_gpt":0.2298295757162608,"score_spread":0.2008910131640338,"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."}}