{"id":"W3207035022","doi":"10.1139/cjfas-2020-0396","title":"Patterns and drivers of native, non-native, and at-risk freshwater fish richness in Canada","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto Scarborough; Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Species richness; Ecology; Biodiversity; Habitat; Introduced species; Body size and species richness; Geography; Propagule pressure; Environmental change; Spatial variability; Spatial ecology; Climate change; Biology; Biological dispersal; Population","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003241001,0.0001878753,0.0002636608,0.001432258,0.001638479,0.0009095953,0.0006645297,0.0002148676,0.001093997],"category_scores_gemma":[0.00106893,0.0002204661,0.0003065375,0.002280097,0.001216909,0.0002898252,0.001037583,0.0003051769,0.00007388004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01625098,"about_ca_system_score_gemma":0.01416943,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9915015,"about_ca_topic_score_gemma":0.9970815,"domain_scores_codex":[0.9996043,0.00002578323,0.00002160919,0.00008970183,0.000097602,0.0001610683],"domain_scores_gemma":[0.9989486,0.0001061162,0.0001841062,0.00003615761,0.0004057379,0.0003192744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003702653,0.00001142415,0.9930385,0.00001839892,0.0000310018,0.00006476766,0.001219494,0.0003287624,0.0007595341,0.0002474824,0.0002285865,0.004014948],"study_design_scores_gemma":[0.00000129698,0.00000428025,0.9979705,0.000009891303,0.000007746318,0.00002371249,0.001367174,0.0003175005,0.00004618524,0.00003567993,0.0002113652,0.000004635178],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990219,0.00009756448,0.0000562664,0.00005113191,8.739928e-7,0.000005178392,0.0003311625,0.000004366407,0.0004316401],"genre_scores_gemma":[0.9994124,0.00008456226,0.0000886657,0.000009505508,5.162157e-7,0.000003009485,0.0001725253,0.000001809764,0.000227029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01625098,"threshold_uncertainty_score":0.1179097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007648406775670882,"score_gpt":0.1815030095977377,"score_spread":0.1738546028220668,"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."}}