{"id":"W2170685033","doi":"10.1093/jpe/rtt072","title":"Phylogenetic structure and phylogenetic diversity of angiosperm assemblages in forests along an elevational gradient in Changbaishan, China","year":2014,"lang":"en","type":"article","venue":"Journal of Plant Ecology","topic":"Plant Diversity and Evolution","field":"Agricultural and Biological Sciences","cited_by":165,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Phylogenetic diversity; Phylogenetic tree; Ecology; Biology; China; Phylogenetics; Biodiversity; 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":[0.0006269042,0.0002617063,0.000262494,0.002285354,0.0007646522,0.0004652308,0.0003296693,0.0001959062,0.0004910083],"category_scores_gemma":[0.000731965,0.0002109734,0.000264353,0.002119745,0.000646426,0.0002541147,0.0005133536,0.0001958352,0.00006031301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000954517,"about_ca_system_score_gemma":0.000623768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05753079,"about_ca_topic_score_gemma":0.1438161,"domain_scores_codex":[0.9996498,0.00008501531,0.00003113492,0.0001011557,0.00005700994,0.0000760051],"domain_scores_gemma":[0.9993371,0.000117535,0.0001792212,0.000046318,0.0001443069,0.0001755293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005029635,0.00001366124,0.9902529,0.00001754068,0.00005504657,0.00007614807,0.0009954011,0.0001868654,0.004832094,0.00007634556,0.00004128152,0.003402478],"study_design_scores_gemma":[0.000001607175,0.000007364107,0.9994697,0.000001617977,0.000004995551,0.00001747901,0.000162504,0.0002372218,0.00003582593,0.00001440172,0.00004490254,0.000002329537],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998024,0.00003973549,0.00003912244,0.000006770792,4.934255e-7,0.00000150668,0.00003775019,0.000001207393,0.00007106867],"genre_scores_gemma":[0.9997074,0.00001818199,0.00008165614,0.000005506439,8.642871e-7,0.000002556918,0.0001313826,5.63926e-7,0.00005183891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05753079,"threshold_uncertainty_score":0.1143919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01222727853433495,"score_gpt":0.1874488562379897,"score_spread":0.1752215777036548,"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."}}