{"id":"W2088089066","doi":"10.1007/s005720050277","title":"Acquisition of Cu, Zn, Mn and Fe by mycorrhizal maize ( Zea mays L.) grown in soil at different P and micronutrient levels","year":2000,"lang":"en","type":"article","venue":"Mycorrhiza","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":377,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Micronutrient; Shoot; Mycorrhiza; Biology; Arbuscular mycorrhiza; Agronomy; Soil water; Nutrient; Inoculation; Horticulture; Symbiosis; Chemistry; Bacteria; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002356181,0.0004243835,0.0004986359,0.000410737,0.0004569741,0.0006562365,0.0004805871,0.0006569987,0.0008180458],"category_scores_gemma":[0.0004065132,0.0003758854,0.0002393016,0.000346455,0.0004503209,0.0005011308,0.0006108024,0.0006801832,0.0002528978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001151023,"about_ca_system_score_gemma":0.0006983465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01926158,"about_ca_topic_score_gemma":0.02383576,"domain_scores_codex":[0.9997019,0.00003928273,0.00002206249,0.00009002702,0.00005483966,0.00009185518],"domain_scores_gemma":[0.9994463,0.0001302,0.0001461405,0.00004516066,0.00008120489,0.0001508408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000680857,0.00003435493,0.001144873,0.00003329839,0.00001082082,0.00004624293,0.0001101967,0.00003796251,0.9973199,0.00006655846,0.00001841056,0.0004966113],"study_design_scores_gemma":[0.0002020577,0.002545529,0.1687929,0.00003920034,0.0001528142,0.0004420224,0.001168106,0.002696085,0.8204863,0.0003792175,0.003013084,0.00008263213],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99914,0.0002805101,0.0001375439,0.00005242785,0.000004318406,0.000003969218,0.000138252,0.00001128364,0.0002316272],"genre_scores_gemma":[0.9976699,0.0001751254,0.0003782445,0.00003747071,0.000004825964,0.00001120777,0.0003669132,0.00001373708,0.001342637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01926158,"threshold_uncertainty_score":0.03829896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00848996624308622,"score_gpt":0.192397179596694,"score_spread":0.1839072133536078,"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."}}