{"id":"W2155850839","doi":"10.1017/s002428291400022x","title":"Lichen communities in two old-growth pine (<i>Pinus</i>) forests","year":2014,"lang":"en","type":"article","venue":"The Lichenologist","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Lichen; Snag; Coarse woody debris; Old-growth forest; Ecology; Species richness; Geography; Secondary forest; Forest management; Biodiversity; Biota; Agroforestry; Forestry; Biology; Habitat","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0002028912,0.0002332899,0.0002516065,0.00114844,0.001432617,0.0007547778,0.000349158,0.0001782654,0.0007966832],"category_scores_gemma":[0.0003422608,0.0002067213,0.0001142828,0.0007678296,0.0006789636,0.0002853854,0.0005207701,0.0001496465,0.0001105197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00444702,"about_ca_system_score_gemma":0.001420204,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.65055,"about_ca_topic_score_gemma":0.8878209,"domain_scores_codex":[0.9997672,0.00001935053,0.0000100162,0.00004721808,0.00005684112,0.00009927439],"domain_scores_gemma":[0.9996401,0.0000289676,0.00005625973,0.00001227828,0.0001000149,0.0001623523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004352328,0.0001061436,0.968601,0.00005451145,0.00003409265,0.0004912135,0.006891373,0.0001413386,0.0156126,0.00008049197,0.0001512567,0.007400676],"study_design_scores_gemma":[0.000002970008,0.00002891955,0.9982086,0.000003119421,0.000004222891,0.000049423,0.001288999,0.00006667263,0.0001377174,0.000007321776,0.0001997138,0.000002280381],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996127,0.00002809953,0.00001493759,0.000002408943,2.932589e-7,0.00000634502,0.00005687327,0.000001394306,0.0002769558],"genre_scores_gemma":[0.9994104,0.00003025489,0.0000764521,0.000004388012,6.088153e-7,0.000005563762,0.000164019,7.301771e-7,0.0003075724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.65055,"threshold_uncertainty_score":0.7030159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02744561953272716,"score_gpt":0.2296876535694734,"score_spread":0.2022420340367462,"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."}}