{"id":"W3002247172","doi":"10.1111/jbi.13802","title":"Ectomycorrhizal fungal diversity predicted to substantially decline due to climate changes in North American Pinaceae forests","year":2020,"lang":"en","type":"article","venue":"Journal of Biogeography","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Environmental Biology; Division of Biological Infrastructure; National Science Foundation","keywords":"Pinaceae; Ecology; Temperate rainforest; Taiga; Geography; Temperate climate; Species richness; Snag; Temperate forest; Ecosystem; Biology; Habitat; Botany; Pinus <genus>","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001842503,0.0001579156,0.0003431087,0.0001522408,0.0001639533,0.00005548158,0.0004123957,0.00004082204,0.0003540222],"category_scores_gemma":[0.0001367389,0.00007252378,0.0001921358,0.002562053,0.000009905661,0.0001223095,0.0002710808,0.0002258891,0.00005120565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001561091,"about_ca_system_score_gemma":0.000008499703,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001053637,"about_ca_topic_score_gemma":0.04056318,"domain_scores_codex":[0.9987011,0.00007746965,0.0003376436,0.0002076157,0.0003271021,0.0003490993],"domain_scores_gemma":[0.9986906,0.0003669708,0.000229257,0.0000401097,0.0001684879,0.0005045718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009867812,0.00008066797,0.9822036,0.000005176392,0.00002770625,0.0001840877,0.0002421557,0.00003615107,0.007936266,0.000007311141,0.002756319,0.005533798],"study_design_scores_gemma":[0.0000912708,0.00226079,0.9841173,0.00004025541,0.00002647376,0.00006772444,0.0002225282,0.00002990282,0.00042492,0.00001135645,0.01254745,0.0001600306],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880685,0.0000775922,0.00002297757,0.008659391,0.000237312,0.0001969516,0.002638306,0.00002711114,0.00007185117],"genre_scores_gemma":[0.9962006,0.0004549487,0.0002761875,0.002385675,0.0005437229,0.000002269933,0.0001338704,0.0000014255,0.000001274251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03950954,"threshold_uncertainty_score":0.976944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01258769765084409,"score_gpt":0.2100763106056285,"score_spread":0.1974886129547845,"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."}}