{"id":"W7011568555","doi":"","title":"Nutrient dynamics of the southern and northern BOREAS boreal forests","year":2000,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Pregnancy and preeclampsia studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Black spruce; Taiga; Nutrient; Boreal; Plant litter; Litter; Ecosystem; Forest floor","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002430163,0.0002581929,0.0002545772,0.0005990729,0.0005232151,0.0006817552,0.0002004644,0.0001541917,0.0003508416],"category_scores_gemma":[0.0003067316,0.0001348954,0.0001274707,0.0004439631,0.0002928232,0.0003360709,0.000319629,0.0001346503,0.00007298479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007430441,"about_ca_system_score_gemma":0.0005237737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1268556,"about_ca_topic_score_gemma":0.3107714,"domain_scores_codex":[0.9998837,0.00001582794,0.00001006313,0.00003968517,0.00002306442,0.00002764248],"domain_scores_gemma":[0.9997823,0.00001579182,0.00007657908,0.000007857328,0.00005054979,0.00006692398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001825478,0.00004968891,0.9850141,0.00002626557,0.0000661974,0.0001199744,0.0005316603,0.0001898099,0.008652382,0.00007366179,0.0001428325,0.004950836],"study_design_scores_gemma":[0.000003980241,0.00001432241,0.9992372,0.000001694468,0.000008712354,0.00006497424,0.0002253328,0.0001044637,0.00006388294,0.00001058627,0.0002626379,0.000002177463],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993984,0.0001092867,0.00002094577,0.00001266502,0.000001624247,0.000001823494,0.0001171638,0.000004327926,0.0003338442],"genre_scores_gemma":[0.9991882,0.0001091,0.0001210453,0.0000233606,0.000004863585,0.000005029187,0.0003784345,0.00000204937,0.0001679816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1268556,"threshold_uncertainty_score":0.2522345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008558362185714376,"score_gpt":0.2029514216535136,"score_spread":0.1943930594677992,"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."}}