{"id":"W2316117617","doi":"","title":"Managing nutrients and water in cherry production systems part 2","year":2012,"lang":"en","type":"article","venue":"eCite Digital Repository (University of Tasmania)","topic":"Plant Physiology and Cultivation Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fertigation; Nutrient; Production (economics); Nutrient management; Environmental science; Agricultural science; Business; Agricultural economics; Water resource management; Economics; Biology; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005074071,0.00005153311,0.00009181129,0.000009828454,0.000143615,0.00001559516,0.00005399419,0.00003487,0.000004223769],"category_scores_gemma":[0.000004828861,0.0000252395,0.00002096863,0.00006233128,0.00005845687,0.0005622236,0.00006121134,0.00003882701,0.000008736875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001228729,"about_ca_system_score_gemma":7.32477e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004227628,"about_ca_topic_score_gemma":0.000009929494,"domain_scores_codex":[0.9996129,0.00001971063,0.00006244318,0.0001160834,0.00006553401,0.0001233245],"domain_scores_gemma":[0.999862,0.00001846019,0.00004205416,0.00002339307,0.00002298202,0.00003108684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001468463,0.0002725857,0.5686165,0.00004899161,0.00005979028,0.00001516313,0.001678023,0.00001683714,0.4215815,0.0002067729,0.001286605,0.006070388],"study_design_scores_gemma":[0.00009323307,0.00003650202,0.9786003,0.00003901818,0.000007038599,0.00001556223,0.004832006,0.00001177921,0.001411985,0.00004879663,0.01480621,0.00009754269],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962331,0.0001436499,6.255708e-7,0.0001052651,0.0001815488,0.00006789218,0.000007406539,0.00001631417,0.003244184],"genre_scores_gemma":[0.99765,0.00003056582,0.00000208519,0.000004667367,0.00008208664,2.878043e-7,0.00001747247,2.674217e-7,0.002212549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4201695,"threshold_uncertainty_score":0.1104585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01552444274600743,"score_gpt":0.1609267384759164,"score_spread":0.145402295729909,"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."}}