{"id":"W3032794116","doi":"10.1080/17513758.2020.1771442","title":"Contrasting stoichiometric dynamics in terrestrial and aquatic grazer–producer systems","year":2020,"lang":"en","type":"article","venue":"Journal of Biological Dynamics","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ecology; Environmental science; Terrestrial ecosystem; Aquatic ecosystem; Ecological stoichiometry; Terrestrial plant; Biology; Ecosystem","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":[],"consensus_categories":[],"category_scores_codex":[0.0003578186,0.0001432772,0.000445236,0.00005299884,0.00006237149,0.00005070375,0.0001950107,0.0001511257,0.000007222412],"category_scores_gemma":[0.0009965082,0.00005274996,0.00009242117,0.000656647,0.0001171082,0.00009242129,0.00005549353,0.0002994095,0.000002457711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001207089,"about_ca_system_score_gemma":0.0000159089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004543852,"about_ca_topic_score_gemma":0.00005209038,"domain_scores_codex":[0.9986423,0.0001941154,0.0005680989,0.0002132233,0.0001447659,0.0002375209],"domain_scores_gemma":[0.9987963,0.0006266471,0.000353018,0.00002334216,0.00002341439,0.0001773073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001896998,0.0008481373,0.6867806,0.00004076606,0.00009255101,0.0003026694,0.0001931569,0.0001402085,0.07517168,0.00407857,0.0001922668,0.2302624],"study_design_scores_gemma":[0.001934956,0.005482728,0.7288854,0.000127254,0.00003254477,0.0002161391,0.00188741,0.2567484,0.00004769198,0.001551626,0.002613567,0.0004722415],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99452,0.0005597987,0.0002029009,0.004175343,0.0002395086,0.0001475697,0.00001991429,0.00001424438,0.0001207325],"genre_scores_gemma":[0.998926,0.0002609294,0.00009519469,0.0002909564,0.0003827,0.000001957381,0.00003404896,9.432939e-7,0.000007219815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2566082,"threshold_uncertainty_score":0.2151081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04256940846734143,"score_gpt":0.2405339217490175,"score_spread":0.197964513281676,"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."}}