{"id":"W2333145430","doi":"10.1002/ece3.1898","title":"Confronting species distribution model predictions with species functional traits","year":2016,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Center for Sponsored Coastal Ocean Research; National Oceanic and Atmospheric Administration","keywords":"Grass carp; Ecology; Species distribution; Habitat; Biology; Climate change; Fishery","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":[0.01315734,0.001076602,0.000877477,0.0009940289,0.0004847696,0.001668476,0.001494265,0.00104162,0.001277648],"category_scores_gemma":[0.04841929,0.0008067749,0.0008332176,0.0008530518,0.0007485296,0.002024058,0.0009929404,0.001197227,0.0003885751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001659266,"about_ca_system_score_gemma":0.0009945935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01510288,"about_ca_topic_score_gemma":0.01360499,"domain_scores_codex":[0.9961864,0.002305832,0.0002512112,0.0007437306,0.0003442942,0.0001686062],"domain_scores_gemma":[0.9303971,0.06207637,0.003065304,0.00166361,0.002290842,0.0005067512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001491406,0.00006142235,0.2886556,0.0001416318,0.000655588,0.0001448143,0.0002015623,0.6873667,0.0008795757,0.002688052,0.001500008,0.01755591],"study_design_scores_gemma":[0.00001388625,0.00005871445,0.02707681,0.00003016386,0.00005201097,0.0000683021,0.0001312014,0.9654461,0.0003968019,0.006002826,0.0006960929,0.0000270785],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8991705,0.0008576495,0.09339769,0.001347854,0.00008264773,0.00004618796,0.001235037,0.0005717366,0.003290647],"genre_scores_gemma":[0.9884524,0.0001022439,0.01031196,0.0002299533,0.00002441989,0.00003635778,0.0006152318,0.0000661698,0.0001613408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01510288,"threshold_uncertainty_score":0.06958348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0196537426879002,"score_gpt":0.1934527206474848,"score_spread":0.1737989779595846,"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."}}