{"id":"W3104286743","doi":"10.3390/agronomy10111738","title":"Recent Achievements and New Research Opportunities for Optimizing Macronutrient Availability, Acquisition, and Distribution for Perennial Fruit Crops","year":2020,"lang":"en","type":"article","venue":"Agronomy","topic":"Plant nutrient uptake and metabolism","field":"Agricultural and Biological Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"National Institute of Food and Agriculture; U.S. Department of Agriculture","keywords":"Rhizosphere; Nutrient; Agriculture; Fertilizer; Sustainability; Nutrient management; Environmental science; Sustainable agriculture; Agronomy; Biology; Agroforestry; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001783296,0.0003816066,0.000554281,0.0007288352,0.0002782779,0.001648437,0.0005222794,0.0006526958,0.001904133],"category_scores_gemma":[0.0007258962,0.0001594158,0.0003534792,0.0009364019,0.0005561875,0.001933863,0.0007761336,0.0008987657,0.0003432197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006942265,"about_ca_system_score_gemma":0.001210258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009181455,"about_ca_topic_score_gemma":0.002309348,"domain_scores_codex":[0.999725,0.00003775368,0.00002233463,0.00007922076,0.0000870548,0.0000486498],"domain_scores_gemma":[0.9992108,0.0002758351,0.0001380839,0.00004986179,0.000166452,0.0001589604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003203083,0.000192278,0.00455493,0.005663686,0.00009108263,0.0001790622,0.000307264,0.0018924,0.1575215,0.008121612,0.004063767,0.8170922],"study_design_scores_gemma":[0.00007934519,0.002248375,0.04007497,0.002319515,0.0004940649,0.000965781,0.001944102,0.01055288,0.108864,0.02386647,0.8084397,0.0001506724],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.07470343,0.8952577,0.01338559,0.006715441,0.0002882682,0.0000358517,0.0002004862,0.0001856744,0.009227477],"genre_scores_gemma":[0.221509,0.7444764,0.029407,0.001190342,0.0005444202,0.00004256474,0.0003032975,0.00004669142,0.002480184],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001904133,"threshold_uncertainty_score":0.009431064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2204443765644941,"score_gpt":0.3069625549064863,"score_spread":0.08651817834199219,"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."}}