{"id":"W215282413","doi":"10.3334/ornldaac/343","title":"BOREAS TE-09 Photosynthetic Capacity and Foliage Nitrogen Data","year":2012,"lang":"en","type":"dataset","venue":"Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Taiga; Boreal; Environmental science; Oak Ridge National Laboratory; Black spruce; Photosynthetic capacity; Photosynthesis; Ecology; Forestry; Geography; Biology; Botany","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003806045,0.0005054331,0.0004179705,0.0001007402,0.0002913955,0.00005146758,0.001044154,0.0003797388,0.0005209946],"category_scores_gemma":[0.0005629418,0.0005067252,0.0001153921,0.0002465255,0.0008840418,0.0003453997,0.001767318,0.0005490989,0.0001809537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007789287,"about_ca_system_score_gemma":0.0000838868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002166612,"about_ca_topic_score_gemma":0.001026371,"domain_scores_codex":[0.9973015,0.0001290366,0.0004012665,0.000981317,0.0005335287,0.0006534076],"domain_scores_gemma":[0.9981876,0.0003618722,0.0003297421,0.0006934855,0.00010175,0.0003255501],"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":[0.0001573019,0.0006664308,0.001886667,0.00008612198,0.0002406393,0.000004676306,0.000006905415,0.000004087559,0.0001895648,0.001651548,0.9949377,0.0001684048],"study_design_scores_gemma":[0.000657574,0.00004882748,0.001901393,0.00003009787,0.0002134942,0.000007647543,0.00001723706,0.001295064,0.0004828839,0.01158192,0.98327,0.0004938027],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003718318,0.00002897414,0.0001611091,0.0002637611,0.0002330595,0.0008551046,0.9946041,0.00003513889,0.0001004538],"genre_scores_gemma":[0.001163471,0.00007292929,0.0004708816,0.0005283733,0.0001365526,0.0001825178,0.9974158,0.00002781057,0.000001645735],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01166759,"threshold_uncertainty_score":0.9997385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01369912933480251,"score_gpt":0.2425011947818952,"score_spread":0.2288020654470927,"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."}}