{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001247697,0.0002464776,0.0004284371,0.00003150082,0.00005695677,0.000002482561,0.0003796098,0.0004431682,0.00145552],"category_scores_gemma":[0.0000517208,0.0002092772,0.00008202789,0.0001163311,0.0004543132,0.00007826282,0.0005051334,0.0003661314,0.0006472364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001126833,"about_ca_system_score_gemma":0.00001381572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001282207,"about_ca_topic_score_gemma":0.001142977,"domain_scores_codex":[0.9986145,0.0001294663,0.0002569871,0.0004931092,0.000111823,0.0003941481],"domain_scores_gemma":[0.9991949,0.0001474009,0.0002293889,0.0003941336,0.000009242454,0.00002492648],"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":[0.0000163044,0.00002902207,0.1586507,0.00007942179,0.00006013983,0.00004373347,0.00004182328,3.650075e-7,0.00002129345,0.0004055945,0.840279,0.0003726763],"study_design_scores_gemma":[0.0002844929,0.0001551554,0.04629431,0.00003415955,0.00006746413,0.00003272673,0.00001613543,0.00005859092,0.000004042872,0.0003203737,0.9524363,0.0002962622],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.05565386,0.005128458,0.0009623001,0.6313233,0.01044454,0.003384196,0.2295463,0.0002763827,0.06328072],"genre_scores_gemma":[0.04739399,0.0009626545,0.001295549,0.9097185,0.002346943,0.0001967999,0.03652637,0.00003583556,0.001523323],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2783953,"threshold_uncertainty_score":0.9994573,"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."}}