{"id":"W2003977893","doi":"10.1080/146349801753569234","title":"A methodology for identifying and classifying aquatic biodiversity investment areas: Application in the Great Lakes basin","year":2001,"lang":"en","type":"article","venue":"Aquatic Ecosystem Health & Management","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"U.S. Environmental Protection Agency","keywords":"Biodiversity; Habitat; Aquatic ecosystem; Environmental resource management; Ecosystem; Fish <Actinopterygii>; Environmental science; Fishery; Ecology; Biology","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":[0.00166671,0.0004771184,0.0003685317,0.004484741,0.0008782035,0.001522338,0.0006264774,0.0005097222,0.002830883],"category_scores_gemma":[0.004183634,0.0003029408,0.0004555834,0.002598554,0.0005762615,0.0005691696,0.0008097351,0.0005005772,0.0003057381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008958849,"about_ca_system_score_gemma":0.001571307,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01198759,"about_ca_topic_score_gemma":0.014023,"domain_scores_codex":[0.9989864,0.000277054,0.0001177336,0.0001508558,0.000399978,0.0000678116],"domain_scores_gemma":[0.9978086,0.0007795029,0.0003732581,0.0001021006,0.0008174962,0.0001189989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001239652,0.0002746391,0.08884714,0.0006360605,0.0001812482,0.0004278478,0.003661748,0.02677915,0.0187685,0.01076944,0.00414554,0.8453847],"study_design_scores_gemma":[0.0002707869,0.0009646931,0.2183524,0.0005554277,0.0002892286,0.002339861,0.008892507,0.657457,0.03375582,0.03629769,0.04048287,0.000341806],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2842477,0.0003647725,0.7007863,0.0004994901,0.00005420733,0.002130712,0.001359399,0.001300588,0.009256895],"genre_scores_gemma":[0.2741165,0.0001176972,0.7229747,0.00004083213,0.00001364458,0.0006804142,0.0003523632,0.00003559248,0.001668293],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9880124,"threshold_uncertainty_score":0.02383566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08581359463969424,"score_gpt":0.3121602938595948,"score_spread":0.2263466992199005,"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."}}