{"id":"W2322519510","doi":"10.1016/j.geoderma.2016.03.018","title":"Phosphorus and micronutrient dynamics during gymnosperm and angiosperm litters decomposition in temperate cold forest from Eastern Canada","year":2016,"lang":"en","type":"article","venue":"Geoderma","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Litter; Gymnosperm; Nutrient; Temperate climate; Biology; Botany; Plant litter; Temperate forest; Ecosystem; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003905234,0.0001319247,0.0001358197,0.000009880731,0.00009886338,0.00004641975,0.00007611806,0.00006345005,0.00001160093],"category_scores_gemma":[0.000005336267,0.0000550705,0.00002301335,0.00007953564,0.00004547984,0.00008045389,0.00007197639,0.00005401698,0.000001883785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001425294,"about_ca_system_score_gemma":0.00001306382,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3362031,"about_ca_topic_score_gemma":0.836373,"domain_scores_codex":[0.9991971,0.00002491925,0.0001516103,0.0002675277,0.0001072149,0.0002516842],"domain_scores_gemma":[0.9997177,0.00006574525,0.00004022917,0.00004367508,0.00002044305,0.0001122813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003819842,0.00001529336,0.9260008,0.000003139862,0.000007815213,0.0000266394,0.00004057317,0.00000206936,0.06903021,0.00003100519,0.00001813239,0.004786177],"study_design_scores_gemma":[0.0004729749,0.00002940009,0.992072,0.00004657509,0.000006764531,0.00001416364,0.0001280682,0.002527287,0.004306312,0.000101564,0.0001190676,0.0001758131],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977443,0.0004292189,0.000001194414,0.001419176,0.0000800101,0.0001210887,0.0001538003,0.00001824911,0.0000329985],"genre_scores_gemma":[0.9993095,0.0002134057,0.00001688852,0.0002818299,0.0000448746,0.000008065897,0.00004467797,0.000001617929,0.00007910798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5001699,"threshold_uncertainty_score":0.6682172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003899906864728314,"score_gpt":0.1678284609737428,"score_spread":0.1639285541090145,"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."}}