{"id":"W2731293987","doi":"","title":"A Note on the Incidence of Zinc Deficiency in the Okanagan Valley of British Columbia","year":2016,"lang":"en","type":"article","venue":"Scientific Agriculture","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Incidence (geometry); Zinc deficiency (plant disorder); Geography; Zinc; Mathematics; Materials science; Metallurgy","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":[0.0004414873,0.0002140985,0.0002953288,0.002537616,0.00223095,0.001350782,0.0008212606,0.0005544659,0.00211467],"category_scores_gemma":[0.00129752,0.0001769198,0.0001973771,0.004637915,0.0005556578,0.0002868084,0.0005346551,0.0006701254,0.0001840613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003840792,"about_ca_system_score_gemma":0.009069399,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.961808,"about_ca_topic_score_gemma":0.9889693,"domain_scores_codex":[0.9993948,0.00007938992,0.00007408739,0.00007131352,0.000182251,0.0001981095],"domain_scores_gemma":[0.9979668,0.0002515059,0.0002415961,0.00008224761,0.001104944,0.000352788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009653145,0.00002221263,0.976066,0.00009855636,0.00004552758,0.001100715,0.001338002,0.0001175278,0.001617427,0.0002094568,0.005122803,0.01416522],"study_design_scores_gemma":[0.000004514431,0.00001761506,0.990044,0.00004302759,0.00002900761,0.0004871363,0.003908241,0.0001135472,0.0002119492,0.00004999339,0.005076442,0.00001451144],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738255,0.002648257,0.0002971262,0.0032434,0.0001048209,0.00002828695,0.003378883,0.00004731764,0.01642645],"genre_scores_gemma":[0.9924705,0.001514575,0.0003822153,0.0004850404,0.00002953835,0.000009477161,0.0007305337,0.00001259784,0.004365425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03819203,"threshold_uncertainty_score":0.07683384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007711293222083138,"score_gpt":0.1988216398712707,"score_spread":0.1911103466491876,"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."}}