{"id":"W2566337748","doi":"10.1002/ece3.2625","title":"Estimating plant abundance using inflated beta distributions: Applied learnings from a lichen–caribou ecosystem","year":2016,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Lichen and fungal ecology","field":"Agricultural and Biological Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry","funders":"Statoil","keywords":"Lichen; Abundance (ecology); Cladonia; Environmental science; Vegetation (pathology); Ecology; Terrestrial ecosystem; Sphagnum; Physical geography; Ecosystem; Biology; Geography","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":[0.004492851,0.0007033988,0.000722552,0.001365451,0.0003841538,0.0009651138,0.0009163865,0.0007010097,0.0007669473],"category_scores_gemma":[0.01103662,0.000517563,0.0006057674,0.000737059,0.0006538084,0.0007092945,0.001025654,0.0009122325,0.0002019853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006484768,"about_ca_system_score_gemma":0.0005070841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01482238,"about_ca_topic_score_gemma":0.01414935,"domain_scores_codex":[0.9990309,0.000524972,0.00005017132,0.0002522264,0.00006795122,0.00007366911],"domain_scores_gemma":[0.9912677,0.006758426,0.0006509161,0.0005691266,0.0005331023,0.0002208216],"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":[0.0003213232,0.0002527235,0.216855,0.00003766242,0.00028313,0.0001565992,0.0002455754,0.6803428,0.002913145,0.0006666369,0.0002692868,0.09765605],"study_design_scores_gemma":[0.000004360219,0.00003302492,0.008181031,0.000003047845,0.000007201761,0.00001252398,0.00001788776,0.9910233,0.0002204133,0.0004532631,0.00003776045,0.00000616115],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8965138,0.00008894622,0.1024868,0.00007069621,0.000004885706,0.00001970527,0.0001181146,0.0003280621,0.0003689634],"genre_scores_gemma":[0.9791839,0.0000305677,0.0203074,0.00001774801,0.000007174975,0.00002006542,0.0002212343,0.00001325464,0.000198626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01482238,"threshold_uncertainty_score":0.02947217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01226245524216723,"score_gpt":0.1989252114001455,"score_spread":0.1866627561579782,"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."}}