{"id":"W2162584119","doi":"10.1111/j.1365-2486.2011.02451.x","title":"TRY – a global database of plant traits","year":2011,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Forest ecology and management","field":"Environmental Science","cited_by":2669,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; Université de Sherbrooke; University of Guelph","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Database; Geography; Computer science","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":[0.00146492,0.001641839,0.001653788,0.009666062,0.0005409482,0.002495178,0.002359321,0.001393197,0.01118679],"category_scores_gemma":[0.006275993,0.0006043841,0.001156698,0.01359335,0.0003907066,0.003131053,0.002805132,0.001291175,0.01423091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007558931,"about_ca_system_score_gemma":0.00161617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00320725,"about_ca_topic_score_gemma":0.002867321,"domain_scores_codex":[0.9984835,0.0001707527,0.000361641,0.0005380317,0.0003386647,0.0001074743],"domain_scores_gemma":[0.9947461,0.001344315,0.0009792001,0.001405127,0.0008763654,0.0006488971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002793329,0.0003216834,0.06945392,0.01069571,0.001196528,0.001216223,0.001115729,0.009464268,0.03288862,0.02219987,0.6741777,0.1744763],"study_design_scores_gemma":[0.000364989,0.0002565999,0.08496027,0.000603064,0.0004011467,0.001094786,0.0004371288,0.008882314,0.007958786,0.008357896,0.8864248,0.0002581096],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008303636,0.0005786446,0.005396035,0.00008438223,0.0000313485,0.00005343647,0.9772488,0.006119981,0.002183772],"genre_scores_gemma":[0.008134328,0.0002412816,0.00426828,0.00004852397,0.00001209196,0.0001240264,0.9863837,0.0004089943,0.0003788341],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01118679,"threshold_uncertainty_score":0.03742361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0533417808214683,"score_gpt":0.2533058095337862,"score_spread":0.1999640287123179,"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."}}