{"id":"W1599034928","doi":"10.1038/35070643","title":"Animal nitrogen swap for plant carbon","year":2001,"lang":"en","type":"article","venue":"Nature","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":164,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Nutrient; Ecology; Boreal; Swap (finance); Temperate climate; Environmental science; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.00004586669,0.0000731981,0.00008837877,0.000003167153,0.0001157854,0.00001621387,0.0000993701,0.0003009436,0.00002622423],"category_scores_gemma":[0.00002040592,0.00002291879,0.00005231531,0.00008516709,0.00001136287,0.0000210331,0.00002334117,0.0002555251,0.000005393015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006608425,"about_ca_system_score_gemma":0.000001455537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003734237,"about_ca_topic_score_gemma":0.0007847255,"domain_scores_codex":[0.999547,0.000006101963,0.00005480569,0.0001314869,0.00008264182,0.0001779461],"domain_scores_gemma":[0.9998482,0.0000663149,0.00002047231,0.000007885257,0.00002421514,0.00003293092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005851446,0.00009179933,0.2195663,0.00000893841,0.00004924873,0.00004187249,0.00005479906,1.632499e-7,0.7222438,0.001453775,0.04116829,0.01473583],"study_design_scores_gemma":[0.0001447776,0.0003356853,0.2858765,0.00001046169,0.00001326701,0.00002753023,0.00009521622,0.00004528076,0.004825286,0.00110658,0.7073411,0.0001783319],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992577,0.001408504,4.133987e-8,0.001943633,0.00006350905,0.00009756859,0.0001123534,0.00004681016,0.003750624],"genre_scores_gemma":[0.9983665,0.00009270608,0.00001969586,0.0004634672,0.0007245289,0.000009052484,0.00005083824,3.687491e-7,0.0002728361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7174185,"threshold_uncertainty_score":0.2321153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02771132770317994,"score_gpt":0.2179218691939983,"score_spread":0.1902105414908183,"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."}}