{"id":"W2094416035","doi":"10.1007/s11368-008-0045-x","title":"Spatial variability and evaluation of status of micronutrients in selected soils around Taihu Lake, China","year":2008,"lang":"en","type":"article","venue":"Journal of Soils and Sediments","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Arable land; Environmental science; Agriculture; Geostatistics; Micronutrient; Soil water; Soil test; Spatial distribution; Spatial variability; Geography; Soil science; Chemistry; Remote sensing","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":[0.0003374054,0.0002828842,0.0003304632,0.001891693,0.000658356,0.0005645087,0.0004379665,0.0002816506,0.0003673354],"category_scores_gemma":[0.0004312937,0.0002582535,0.0002444865,0.002533243,0.000519941,0.0004258614,0.0005106954,0.0001317434,0.00005464907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047903,"about_ca_system_score_gemma":0.001291079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08396555,"about_ca_topic_score_gemma":0.1386743,"domain_scores_codex":[0.9997547,0.000026526,0.00002770442,0.00007431961,0.00005970718,0.00005706478],"domain_scores_gemma":[0.9994882,0.0000675858,0.0001696231,0.00002243607,0.0001676029,0.00008446333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001576575,0.00004585554,0.9828984,0.00003342,0.0000827011,0.000192017,0.0011476,0.0003482859,0.01137152,0.00006543917,0.0000644797,0.003592819],"study_design_scores_gemma":[0.000003718281,0.0000159156,0.998713,0.000001122904,0.00001739831,0.0000349287,0.0004171708,0.0004153412,0.0002841546,0.00001891116,0.00007490664,0.000003437798],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997507,0.00002240262,0.00003745616,0.000006219902,6.655246e-7,0.000002203137,0.00007391817,0.000002331205,0.0001040361],"genre_scores_gemma":[0.9996588,0.00001796143,0.00006070173,0.000003038617,0.000001623926,0.000003945263,0.0001166286,6.390698e-7,0.0001365362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08396555,"threshold_uncertainty_score":0.1669536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01739834377455198,"score_gpt":0.2568666349544071,"score_spread":0.2394682911798551,"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."}}