{"id":"W2997212601","doi":"10.1111/gcb.14869","title":"TRY—A plant trait database of databases","year":2019,"lang":"en","type":"letter","venue":"Global Change Biology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Database; Trait; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002859185,0.001614642,0.001688303,0.0103252,0.001138196,0.004344846,0.003567165,0.001654594,0.02231748],"category_scores_gemma":[0.01779609,0.0009578974,0.001514486,0.01406773,0.0004696692,0.00685339,0.004575697,0.002481363,0.0297891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001371232,"about_ca_system_score_gemma":0.003659605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004131136,"about_ca_topic_score_gemma":0.004059719,"domain_scores_codex":[0.9974625,0.0003946639,0.0008875096,0.0005048026,0.0005877223,0.0001627754],"domain_scores_gemma":[0.9909742,0.002864195,0.001327693,0.002040572,0.001923417,0.0008697719],"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":[0.0007026171,0.00006686531,0.003707424,0.005315572,0.0002990996,0.0003565925,0.0004520113,0.001312528,0.003913575,0.0224949,0.9009562,0.06042258],"study_design_scores_gemma":[0.0001487854,0.00004473187,0.005696867,0.0007522456,0.000113169,0.0003257155,0.0001660981,0.002236275,0.001523212,0.0131276,0.975737,0.0001284273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002758254,0.002340642,0.02466235,0.0008973238,0.0002608709,0.0002801123,0.9263734,0.03395754,0.00846947],"genre_scores_gemma":[0.006527029,0.00112155,0.01916317,0.0004789061,0.00008794811,0.0005188144,0.9661323,0.004064665,0.001905614],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02231748,"threshold_uncertainty_score":0.07465935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06169456901429857,"score_gpt":0.2866072561905663,"score_spread":0.2249126871762677,"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."}}