{"id":"W2080021210","doi":"10.1080/01904160903006002","title":"Prevalence of Phosphorus, Potassium, and Calcium Limitations in White Spruce across Canada","year":2009,"lang":"en","type":"article","venue":"Journal of Plant Nutrition","topic":"Forest ecology and management","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Phosphorus; Potassium; Nutrient; Calcium; White Phosphorus; Magnesium; Nitrogen; Agronomy; Chemistry; Animal science; Botany; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005091655,0.0003228056,0.0003220577,0.002343918,0.001968885,0.001028944,0.0007753326,0.0003004989,0.0009994516],"category_scores_gemma":[0.0008914809,0.0002691323,0.0002306718,0.00273094,0.0008420023,0.0002539018,0.0006281596,0.0003180835,0.00007084219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007848362,"about_ca_system_score_gemma":0.01148228,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9840347,"about_ca_topic_score_gemma":0.9939755,"domain_scores_codex":[0.9992371,0.00003737174,0.00005307615,0.0001449896,0.0003080315,0.000219432],"domain_scores_gemma":[0.9981963,0.00008761662,0.0003464168,0.00003589546,0.0008974457,0.0004363111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006568433,0.00001846453,0.994091,0.00002518256,0.00004886602,0.0001707961,0.0005458601,0.00004622572,0.001123893,0.00006347502,0.0002296031,0.003570966],"study_design_scores_gemma":[0.000002649307,0.00002195357,0.9979249,0.0000144857,0.00001940086,0.0001538106,0.00123899,0.00009288429,0.0001895897,0.00001476198,0.0003209314,0.000005592064],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983,0.0003108646,0.00004237004,0.00004977417,0.000003030452,0.000008979712,0.0005468022,0.000005807356,0.0007323351],"genre_scores_gemma":[0.9990618,0.0001886156,0.00007354348,0.00002570404,9.849832e-7,0.000003161261,0.0002541751,0.00000176088,0.0003902515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01596534,"threshold_uncertainty_score":0.05694413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01412073725864094,"score_gpt":0.2230840689051082,"score_spread":0.2089633316464672,"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."}}