{"id":"W2509024345","doi":"10.1139/cjfr-2016-0113","title":"Broad-scale distribution of epiphytic hair lichens correlates more with climate and nitrogen deposition than with forest structure","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Lichen and fungal ecology","field":"Agricultural and Biological Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lichen; Epiphyte; Environmental science; Deposition (geology); Ecology; Scale (ratio); Nitrogen; Botany; Forestry; Geography; Biology; Chemistry; Sediment","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001691973,0.0001725831,0.0001746219,0.0006099127,0.0002665907,0.0003533087,0.0001323424,0.00009756791,0.001255113],"category_scores_gemma":[0.0004735976,0.00009162208,0.0002059322,0.0006176641,0.0002454072,0.0001970811,0.000264329,0.0001283277,0.0001202478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003062285,"about_ca_system_score_gemma":0.000221086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05433934,"about_ca_topic_score_gemma":0.1538206,"domain_scores_codex":[0.9998358,0.00002214131,0.000008866838,0.00006282786,0.00002182631,0.00004848871],"domain_scores_gemma":[0.9994866,0.00009337567,0.0001979153,0.00003995592,0.00007887217,0.0001032944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002925218,0.000006961167,0.9949039,0.000008672587,0.00002758449,0.00002839724,0.00009228282,0.00007385146,0.002622354,0.00001605445,0.0000205101,0.002170163],"study_design_scores_gemma":[1.119278e-7,0.000002213023,0.9998945,4.742751e-7,0.000001424842,0.000008936889,0.00002543706,0.00002180784,0.00002342788,0.000002617339,0.0000187295,3.829495e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993953,0.00007359911,0.00006003755,0.000003216305,5.152492e-7,0.000001059901,0.00009794931,0.000002481917,0.0003659437],"genre_scores_gemma":[0.9996357,0.00003622084,0.00004196709,0.000002293412,0.000001059292,0.000001287753,0.0001226229,8.396119e-7,0.000158052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05433934,"threshold_uncertainty_score":0.1080461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01358608827321895,"score_gpt":0.2333641141687873,"score_spread":0.2197780258955684,"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."}}